home.social

#hippocampal — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hippocampal, aggregated by home.social.

fetched live
  1. Look what’s now possible: Novel wire-free & waterproof #Miniscope (1P) in the #MorrisWaterMaze 👌

    📄 biorxiv.org/content/10.64898/2
    (#NMDA receptor-dependent #Hebbian #plasticity refines #hippocampal spatial representations during two-dimensional navigation learning, Reshef et al)

    Btw they used balloons to keep the mouse‘ head above water level: "3 Mylar spherical helium-filled balloons…were used to reduce the weight load on the animal’s head to avoid sinking." Hackers ✌️

    #Neuroscience #Behavior #MWM

  2. Look what’s now possible: Novel wire-free & waterproof #Miniscope (1P) in the #MorrisWaterMaze 👌

    📄 biorxiv.org/content/10.64898/2
    (#NMDA receptor-dependent #Hebbian #plasticity refines #hippocampal spatial representations during two-dimensional navigation learning, Reshef et al)

    Btw they used balloons to keep the mouse‘ head above water level: "3 Mylar spherical helium-filled balloons…were used to reduce the weight load on the animal’s head to avoid sinking." Hackers ✌️

    #Neuroscience #Behavior #MWM

  3. Look what’s now possible: Novel wire-free & waterproof #Miniscope (1P) in the #MorrisWaterMaze 👌

    📄 biorxiv.org/content/10.64898/2
    (#NMDA receptor-dependent #Hebbian #plasticity refines #hippocampal spatial representations during two-dimensional navigation learning, Reshef et al)

    Btw they used balloons to keep the mouse‘ head above water level: "3 Mylar spherical helium-filled balloons…were used to reduce the weight load on the animal’s head to avoid sinking." Hackers ✌️

    #Neuroscience #Behavior #MWM

  4. Look what’s now possible: Novel wire-free & waterproof #Miniscope (1P) in the #MorrisWaterMaze 👌

    📄 biorxiv.org/content/10.64898/2
    (#NMDA receptor-dependent #Hebbian #plasticity refines #hippocampal spatial representations during two-dimensional navigation learning, Reshef et al)

    Btw they used balloons to keep the mouse‘ head above water level: "3 Mylar spherical helium-filled balloons…were used to reduce the weight load on the animal’s head to avoid sinking." Hackers ✌️

    #Neuroscience #Behavior #MWM

  5. Look what’s now possible: Novel wire-free & waterproof #Miniscope (1P) in the #MorrisWaterMaze 👌

    📄 biorxiv.org/content/10.64898/2
    (#NMDA receptor-dependent #Hebbian #plasticity refines #hippocampal spatial representations during two-dimensional navigation learning, Reshef et al)

    Btw they used balloons to keep the mouse‘ head above water level: "3 Mylar spherical helium-filled balloons…were used to reduce the weight load on the animal’s head to avoid sinking." Hackers ✌️

    #Neuroscience #Behavior #MWM

  6. 🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

    📄 doi.org/10.1126/sciadv.adz9893
    "Hippocampal #PlaceCells map terrain geometry independently of #behavior"

    #Hippocampus #SpatialNavigation #Neuroscience fediscience.org/@rmgrieves/116

  7. 🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

    📄 doi.org/10.1126/sciadv.adz9893
    "Hippocampal #PlaceCells map terrain geometry independently of #behavior"

    #Hippocampus #SpatialNavigation #Neuroscience fediscience.org/@rmgrieves/116

  8. 🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

    📄 doi.org/10.1126/sciadv.adz9893
    "Hippocampal #PlaceCells map terrain geometry independently of #behavior"

    #Hippocampus #SpatialNavigation #Neuroscience fediscience.org/@rmgrieves/116

  9. 🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

    📄 doi.org/10.1126/sciadv.adz9893
    "Hippocampal #PlaceCells map terrain geometry independently of #behavior"

    #Hippocampus #SpatialNavigation #Neuroscience fediscience.org/@rmgrieves/116

  10. 🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

    📄 doi.org/10.1126/sciadv.adz9893
    "Hippocampal #PlaceCells map terrain geometry independently of #behavior"

    #Hippocampus #SpatialNavigation #Neuroscience fediscience.org/@rmgrieves/116

  11. New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

    In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

    🌍 doi.org/10.1038/s41586-026-105

    🧵1/2

    #Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

  12. New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

    In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

    🌍 doi.org/10.1038/s41586-026-105

    🧵1/2

    #Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

  13. New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

    In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

    🌍 doi.org/10.1038/s41586-026-105

    🧵1/2

    #Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

  14. New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

    In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

    🌍 doi.org/10.1038/s41586-026-105

    🧵1/2

    #Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

  15. New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

    In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

    🌍 doi.org/10.1038/s41586-026-105

    🧵1/2

    #Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

  16. 🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

    🌍 cell.com/trends/cognitive-scie

    #Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

  17. 🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

    🌍 cell.com/trends/cognitive-scie

    #Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

  18. 🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

    🌍 cell.com/trends/cognitive-scie

    #Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

  19. 🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

    🌍 cell.com/trends/cognitive-scie

    #Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

  20. 🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

    🌍 cell.com/trends/cognitive-scie

    #Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

  21. 🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.

    🌍 doi.org/10.1038/s41467-025-645

    #Neuroscience #CompNeuro

  22. 🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.

    🌍 doi.org/10.1038/s41467-025-645

    #Neuroscience #CompNeuro

  23. 🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.

    🌍 doi.org/10.1038/s41467-025-645

    #Neuroscience #CompNeuro

  24. 🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.

    🌍 doi.org/10.1038/s41467-025-645

    #Neuroscience #CompNeuro

  25. How do we balance innate responses & adaptive learning when reacting to threats? @tjryan_77 &co show that repeated exposure to looming stimuli reduces innate defensive responses via #hippocampal modulation, revealing a vCA1 engram needed for learned #fear @PLOSBiology plos.io/4pNSnNp

  26. How do we balance innate responses & adaptive learning when reacting to threats? @tjryan_77 &co show that repeated exposure to looming stimuli reduces innate defensive responses via #hippocampal modulation, revealing a vCA1 engram needed for learned #fear @PLOSBiology plos.io/4pNSnNp

  27. How do we balance innate responses & adaptive learning when reacting to threats? @tjryan_77 &co show that repeated exposure to looming stimuli reduces innate defensive responses via #hippocampal modulation, revealing a vCA1 engram needed for learned #fear @PLOSBiology plos.io/4pNSnNp

  28. How do we balance innate responses & adaptive learning when reacting to threats? @tjryan_77 &co show that repeated exposure to looming stimuli reduces innate defensive responses via #hippocampal modulation, revealing a vCA1 engram needed for learned #fear @PLOSBiology plos.io/4pNSnNp

  29. How do we balance innate responses & adaptive learning when reacting to threats? @tjryan_77 &co show that repeated exposure to looming stimuli reduces innate defensive responses via #hippocampal modulation, revealing a vCA1 engram needed for learned #fear @PLOSBiology plos.io/4pNSnNp

  30. 📚 New article by Esparza et al. and @LMPrida : Cell-type-specific #manifold analysis discloses independent parallel #SpatialMaps in #hippocampal #CA1. Using #miniscope imaging, they show deep and superficial CA1 #PyramidalNeurons encode position and running direction via distinct ring manifolds, manipulable via #chemogenetics. Fascinating for revealing parallel, cell-type–specific spatial topologies 👌

    🌍 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #CompNeuro

  31. 📚 New article by Esparza et al. and @LMPrida : Cell-type-specific #manifold analysis discloses independent parallel #SpatialMaps in #hippocampal #CA1. Using #miniscope imaging, they show deep and superficial CA1 #PyramidalNeurons encode position and running direction via distinct ring manifolds, manipulable via #chemogenetics. Fascinating for revealing parallel, cell-type–specific spatial topologies 👌

    🌍 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #CompNeuro

  32. 📚 New article by Esparza et al. and @LMPrida : Cell-type-specific #manifold analysis discloses independent parallel #SpatialMaps in #hippocampal #CA1. Using #miniscope imaging, they show deep and superficial CA1 #PyramidalNeurons encode position and running direction via distinct ring manifolds, manipulable via #chemogenetics. Fascinating for revealing parallel, cell-type–specific spatial topologies 👌

    🌍 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #CompNeuro

  33. 📚 New article by Esparza et al. and @LMPrida : Cell-type-specific #manifold analysis discloses independent parallel #SpatialMaps in #hippocampal #CA1. Using #miniscope imaging, they show deep and superficial CA1 #PyramidalNeurons encode position and running direction via distinct ring manifolds, manipulable via #chemogenetics. Fascinating for revealing parallel, cell-type–specific spatial topologies 👌

    🌍 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #CompNeuro

  34. 📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.

    🌍 nature.com/articles/s41593-025

    #Hippocampus #Neuroscience

  35. 📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.

    🌍 nature.com/articles/s41593-025

    #Hippocampus #Neuroscience

  36. 📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.

    🌍 nature.com/articles/s41593-025

    #Hippocampus #Neuroscience

  37. 📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.

    🌍 nature.com/articles/s41593-025

    #Hippocampus #Neuroscience

  38. This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

    🌍 science.org/doi/10.1126/sciadv

    #Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience

  39. This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

    🌍 science.org/doi/10.1126/sciadv

    #Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience

  40. This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

    🌍 science.org/doi/10.1126/sciadv

    #Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience

  41. This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

    🌍 science.org/doi/10.1126/sciadv

    #Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience

  42. This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

    🌍 science.org/doi/10.1126/sciadv

    #Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience

  43. Does neuronal information storage involve nanoscopic structural changes at #synapses? @olenas_kim &co use nanophysiology & functional EM to reveal structural changes of #hippocampal #ActiveZones during chemical potentiation @ISTAustria #PLOSBiology plos.io/3V22v7h

  44. Does neuronal information storage involve nanoscopic structural changes at #synapses? @olenas_kim &co use nanophysiology & functional EM to reveal structural changes of #hippocampal #ActiveZones during chemical potentiation @ISTAustria #PLOSBiology plos.io/3V22v7h

  45. Does neuronal information storage involve nanoscopic structural changes at #synapses? @olenas_kim &co use nanophysiology & functional EM to reveal structural changes of #hippocampal #ActiveZones during chemical potentiation @ISTAustria #PLOSBiology plos.io/3V22v7h

  46. Does neuronal information storage involve nanoscopic structural changes at #synapses? @olenas_kim &co use nanophysiology & functional EM to reveal structural changes of #hippocampal #ActiveZones during chemical potentiation @ISTAustria #PLOSBiology plos.io/3V22v7h

  47. Does neuronal information storage involve nanoscopic structural changes at #synapses? @olenas_kim &co use nanophysiology & functional EM to reveal structural changes of #hippocampal #ActiveZones during chemical potentiation @ISTAustria #PLOSBiology plos.io/3V22v7h

  48. Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology plos.io/3ApZgzz

  49. Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology plos.io/3ApZgzz

  50. Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology plos.io/3ApZgzz

  51. Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology plos.io/3ApZgzz

  52. Modeling the #hippocampus: @BlueBrainPjt presents a community-based, full-scale in silico model of the rat #hippocampal CA1 region that integrates diverse experimental data from synapse to network #PLOSBiology plos.io/3ApZgzz

  53. I find this article by Ferro just out in nature communication rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

    It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, doi.org/10.1016/j.bbr.2016.09.

    Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

    TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

    Here's that Ferro link:
    rdcu.be/dOzT2

    @cogneurophys

  54. I find this article by Ferro just out in nature communication rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

    It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, doi.org/10.1016/j.bbr.2016.09.

    Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

    TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

    Here's that Ferro link:
    rdcu.be/dOzT2

    @cogneurophys

  55. I find this article by Ferro just out in nature communication rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

    It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, doi.org/10.1016/j.bbr.2016.09.

    Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

    TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

    Here's that Ferro link:
    rdcu.be/dOzT2

    @cogneurophys

  56. I find this article by Ferro just out in nature communication rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

    It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, doi.org/10.1016/j.bbr.2016.09.

    Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

    TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

    Here's that Ferro link:
    rdcu.be/dOzT2

    @cogneurophys

  57. I find this article by Ferro just out in nature communication rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

    It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, doi.org/10.1016/j.bbr.2016.09.

    Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

    TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

    Here's that Ferro link:
    rdcu.be/dOzT2

    @cogneurophys

  58. #CrossFrequencyCoupling (CFC) in cortico-#hippocampal networks enables maintenance of multiple visuo-spatial items in #WorkingMemory. This study shows it also extends to #auditory info, suggesting CFC as a global mechanism for information processing in the human brain #PLOSBiology plos.io/3uXjhe6

  59. #CrossFrequencyCoupling (CFC) in cortico-#hippocampal networks enables maintenance of multiple visuo-spatial items in #WorkingMemory. This study shows it also extends to #auditory info, suggesting CFC as a global mechanism for information processing in the human brain #PLOSBiology plos.io/3uXjhe6