Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance

J Gjorgjieva, G Drion, E Marder - Current opinion in neurobiology, 2016 - Elsevier
Despite advances in experimental and theoretical neuroscience, we are still trying to identify
key biophysical details that are important for characterizing the operation of brain circuits …

Biological constraints on neural network models of cognitive function

F Pulvermüller, R Tomasello… - Nature Reviews …, 2021 - nature.com
Neural network models are potential tools for improving our understanding of complex brain
functions. To address this goal, these models need to be neurobiologically realistic …

Navigating the neural space in search of the neural code

M Jazayeri, A Afraz - Neuron, 2017 - cell.com
The advent of powerful perturbation tools, such as optogenetics, has created new frontiers
for probing causal dependencies in neural and behavioral states. These approaches have …

Dynamic coupling of whole-brain neuronal and neurotransmitter systems

ML Kringelbach, J Cruzat, J Cabral… - Proceedings of the …, 2020 - National Acad Sciences
Remarkable progress has come from whole-brain models linking anatomy and function.
Paradoxically, it is not clear how a neuronal dynamical system running in the fixed human …

A theory of multineuronal dimensionality, dynamics and measurement

P Gao, E Trautmann, B Yu, G Santhanam, S Ryu… - BioRxiv, 2017 - biorxiv.org
In many experiments, neuroscientists tightly control behavior, record many trials, and obtain
trial-averaged firing rates from hundreds of neurons in circuits containing billions of …