#computationalneuroscience — Public Fediverse posts

Gave a talk at the Crick institute on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh. It was fun to present work aimed at generating discussion.

https://neural-reckoning.org/talk_2026_crick_heterogeneity.html

In particular, it was a new experience to present work not primarily to get people excited about the ideas in the work, but to raise questions like: can these ideas be tested? Does this approach to doing computational neuroscience make sense? etc.

We should perhaps do more of this!

#neuroscience #ComputationalNeuroscience

Gave a talk at the Crick institute on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh. It was fun to present work aimed at generating discussion.

https://neural-reckoning.org/talk_2026_crick_heterogeneity.html

In particular, it was a new experience to present work not primarily to get people excited about the ideas in the work, but to raise questions like: can these ideas be tested? Does this approach to doing computational neuroscience make sense? etc.

We should perhaps do more of this!

#neuroscience #ComputationalNeuroscience

Gave a talk at the Crick institute on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh. It was fun to present work aimed at generating discussion.

https://neural-reckoning.org/talk_2026_crick_heterogeneity.html

In particular, it was a new experience to present work not primarily to get people excited about the ideas in the work, but to raise questions like: can these ideas be tested? Does this approach to doing computational neuroscience make sense? etc.

We should perhaps do more of this!

#neuroscience #ComputationalNeuroscience

Gave a talk at the Crick institute on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh. It was fun to present work aimed at generating discussion.

https://neural-reckoning.org/talk_2026_crick_heterogeneity.html

In particular, it was a new experience to present work not primarily to get people excited about the ideas in the work, but to raise questions like: can these ideas be tested? Does this approach to doing computational neuroscience make sense? etc.

We should perhaps do more of this!

#neuroscience #ComputationalNeuroscience

Gave a talk at the Crick institute on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh. It was fun to present work aimed at generating discussion.

https://neural-reckoning.org/talk_2026_crick_heterogeneity.html

In particular, it was a new experience to present work not primarily to get people excited about the ideas in the work, but to raise questions like: can these ideas be tested? Does this approach to doing computational neuroscience make sense? etc.

We should perhaps do more of this!

#neuroscience #ComputationalNeuroscience

If you're seeing your #NEST simulator builds fail recently, it's because of a new #Cython release:

https://github.com/nest/nest-simulator/issues/3495

Workaround: fix `cython<3.1.0` for the moment (until new NEST releases with the fix are made)

#ComputationalNeuroscience #ComputationalModelling #Neuroscience #AcademicChatter

In the same vein as my #arxivfeed thing, here's a paper that I've been reading and really enjoying. I decided to spend more time on it than I usually do when reading papers because I wanted to search for gaps in my knowledge, and I really don't regret that decision! I'm only at the 4th section at the moment and I find it very well written, especially in the framing of things. So far it's a great overview!

"Neural Field Models: A mathematical overview and unifying framework"
https://arxiv.org/abs/2103.10554v4

#Neuroscience #ComputationalNeuroscience #MathematicalNeuroscience #NeuralFieldModelling #Biophysical #DynamicalSystems

#arxivfeed

"JGAT: a joint spatio-temporal graph attention model for brain decoding"
https://arxiv.org/abs/2306.05286

#Neuroscience #Neuroimaging #ComputationalNeuroscience #Connectivity #MachineLearning #ML

#arxivfeed

"Learning low-dimensional dynamics from whole-brain data improves task capture"
https://arxiv.org/abs/2305.14369

#Neuroscience #ComputationalNeuroscience #MachineLearning #Neuroimaging #NeuralODE #DynamicalSystems #Cognition

After a long break, new #arxivfeed

"Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation"
https://arxiv.org/abs/2305.15208

#BayesianInference #MachineLearning #Modelling #SBI #ComputationalNeuroscience

#arxivfeed

"Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias"
https://www.biorxiv.org/content/10.1101/2023.03.10.532087v1

#Neuroscience #ComputationalNeuroscience #DynamicalModels #DynamicalSystems #Neuroimaging #neurodegeneration #TheVirtualBrain

#Arxivfeed :

"Simulation-based inference for efficient identification of generative models in connectomics"
https://www.biorxiv.org/content/10.1101/2023.01.31.526269v1

#Neuroscience #ComputationalNeuroscience #MachineLearning #SimulationBasedInference #Inference #Connectome #Connectivity

#arxivfeed :

"Neurophysiological signatures of cortical micro-architecture"
https://www.biorxiv.org/content/10.1101/2023.01.23.525101v1

#Neuroscience #Neuro #ComputationalNeuroscience #Multimodal #Neuroimaging #Neurophysiology

Wonderful work!

#arxivfeed :

"Mesoscopic modeling of hidden spiking neurons"
https://arxiv.org/abs/2205.13493

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #SpikingNeuralNetworks

#arxivfeed :

"Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks"
https://www.biorxiv.org/content/10.1101/2023.01.05.522909v1

#Neuroscience #Neuro #ComputationalNeuroscience #Vision #MachineLearning #DeepLearning #ConvolutionalNeuralNetworks

#arxivfeed :

"CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis"
https://arxiv.org/abs/2301.01642

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #GraphNeuralNetworks #Psychiatry #FunctionalConnectivity #CausalInference

#arxivfeed :

"Inhibition stabilization and paradoxical effects in recurrent neural networks with short-term plasticity"
https://www.biorxiv.org/content/10.1101/2022.12.19.520986v1

#Neuroscience #Neuro #Brain #ComputationalNeuroscience #DynamicalSystems #Plasticity

#arxivfeed :

"Multi-modal and multi-model interrogation of large-scale functional brain networks"
https://www.biorxiv.org/content/10.1101/2022.12.19.520967v1

#Neuroscience #Neuro #Brain #Neuroimaging #fMRI #MEG #ComputationalNeuroscience #DynamicalSystems #WholeBrainModel #Connectivity