home.social

#computationalpsychiatry — Public Fediverse posts

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

fetched live
  1. Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry biorxiv.org/content/10.1101/20

  2. Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry biorxiv.org/content/10.1101/20

  3. Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry biorxiv.org/content/10.1101/20

  4. Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry biorxiv.org/content/10.1101/20

  5. Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry biorxiv.org/content/10.1101/20

  6. @brembs @knutson_brain

    2/2

    You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

    A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

    cambridge.org/core/journals/be

    Also available here:
    redishlab.neuroscience.umn.edu

  7. @brembs @knutson_brain

    2/2

    You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

    A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

    cambridge.org/core/journals/be

    Also available here:
    redishlab.neuroscience.umn.edu

  8. @brembs @knutson_brain

    2/2

    You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

    A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

    cambridge.org/core/journals/be

    Also available here:
    redishlab.neuroscience.umn.edu

  9. @brembs @knutson_brain

    2/2

    You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

    A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

    cambridge.org/core/journals/be

    Also available here:
    redishlab.neuroscience.umn.edu

  10. @brembs @knutson_brain

    2/2

    You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

    A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

    cambridge.org/core/journals/be

    Also available here:
    redishlab.neuroscience.umn.edu

  11. New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

    academic.oup.com/schizophrenia

  12. New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

    academic.oup.com/schizophrenia

  13. New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

    academic.oup.com/schizophrenia

  14. New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

    academic.oup.com/schizophrenia

  15. New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

    academic.oup.com/schizophrenia

  16. Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry biorxiv.org/content/10.1101/20

  17. Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry biorxiv.org/content/10.1101/20

  18. Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry biorxiv.org/content/10.1101/20

  19. Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry biorxiv.org/content/10.1101/20

  20. Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry biorxiv.org/content/10.1101/20

  21. I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! doi.org/10.1101/2023.05.13.232 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

  22. I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! doi.org/10.1101/2023.05.13.232 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

  23. I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! doi.org/10.1101/2023.05.13.232 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

  24. I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! doi.org/10.1101/2023.05.13.232 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

  25. I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! doi.org/10.1101/2023.05.13.232 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

  26. "Dear all,

    We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

    cpconf.org/

    One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

    The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

    The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

    The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

    Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

    We look forward to seeing everyone in Dublin this summer!"

  27. "Dear all,

    We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

    cpconf.org/

    One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

    The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

    The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

    The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

    Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

    We look forward to seeing everyone in Dublin this summer!"

  28. "Dear all,

    We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

    cpconf.org/

    One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

    The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

    The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

    The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

    Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

    We look forward to seeing everyone in Dublin this summer!"

  29. "Dear all,

    We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

    cpconf.org/

    One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

    The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

    The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

    The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

    Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

    We look forward to seeing everyone in Dublin this summer!"

  30. "Dear all,

    We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

    cpconf.org/

    One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

    The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

    The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

    The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

    Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

    We look forward to seeing everyone in Dublin this summer!"

  31. In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @[email protected] #neuroscience (3/3)

  32. In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @[email protected] #neuroscience (3/3)

  33. In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @[email protected] #neuroscience (3/3)

  34. In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @[email protected] #neuroscience (3/3)

  35. In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @[email protected] #neuroscience (3/3)

  36. 👀🚨Exciting post-doc opportunity 🚨👀 in #ComputationalPsychiatry & #ReinforcementLearning working with Dr. Poornima Kumar!
    I'm really excited to see what comes out of this group!!!
    ---
    RT @ak_poorni
    Computational Psychopathology (COMP) group at McLean Hospital/Harvard Medical School (Directed by me) is looking for a postdoc interested in #ComputationalPsychiatry to work on developing computational models of #ReinforcementLearning and #Dec
    twitter.com/ak_poorni/status/1

  37. 👀🚨Exciting post-doc opportunity 🚨👀 in #ComputationalPsychiatry & #ReinforcementLearning working with Dr. Poornima Kumar!
    I'm really excited to see what comes out of this group!!!
    ---
    RT @ak_poorni
    Computational Psychopathology (COMP) group at McLean Hospital/Harvard Medical School (Directed by me) is looking for a postdoc interested in #ComputationalPsychiatry to work on developing computational models of #ReinforcementLearning and #Dec
    twitter.com/ak_poorni/status/1

  38. Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...

  39. Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...

  40. Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...

  41. Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...

  42. Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...