This study leverages cell type-specific optogenetics in the monkey cerebral cortex to elucidate the unique functional contributions of excitatory and inhibitory neurons in visual form processing. The ...

Humans build internal models from online observations to adapt to new environments. Here, the authors show that individuals are biased towards building models with moderate structural complexity, rega...

In cell biology, computational models of biological systems range from minimal representations with a handful of parameters to whole-cell simulations tracking thousands of molecular species across a c...

Understanding the dynamical properties of coupled phase oscillator systems with heterogeneous oscillator frequencies has been a long-standing challenge of complex systems theory. While the seminal wor...

Convolutional Neural Networks (CNNs) trained for image recognition have demonstrated remarkable conceptual similarities to the primate ventral visual pathway, but their standard feedforward architectu...

Bayesian state-space model for joint inference of oscillatory dynamics and point-process coupling - Bowen-Zheng-99/joint-ssmt

During learning, neural circuits reorganize to encode new information and adapt behavioral responses. Ca2+/calmodulin-dependent protein kinase II (CaM…

Combining a computational framework and optogenetic and chemogenetic manipulations within and downstream of the cortico-basal ganglia circuit identifies the specific cortico-basal ganglia synapse...

Science in the age of selfies

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Nature Ecology & Evolution - Using phylogenetic comparative methods across 237 species from disparate phyla, the authors show that species with fast-paced ecologies have higher temporal...

Abstract. Human spoken language uses a continuous stream of acoustic signals to communicate about continuous features of the world, by using discrete forms

Language understanding entails not just extracting the surface-level meaning of the linguistic input, but constructing rich mental models of the situation it describes. Here we propose that because pr...

Plasticity at inhibitory synapses maintains balanced excitatory and inhibitory synaptic inputs at cortical neurons.

YouTube video by Dwarkesh Patel

A central tenet of Systems Neuroscience lies in an understanding of memory and behavior through learning rules, but synaptic plasticity has rarely been shown to create functional single-neuron code in...

High-capacity, one-shot visual recognition memory challenges theories of learning and neural coding because it requires rapid, robust, and durable representations. Most studies have focused on the hip...

Nature Reviews Neuroscience - The goal of theoretical neuroscience is to uncover principles of neural computation through careful design and interpretation of mathematical models. Here, I examine...

There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.

This week I was looking for info on what cognitive scientists mean when they speak of ‘domain-general’ cognition. I was curious, because the nuances are relevant for something I am researching at t…

Higher-order interactions shape complex neural dynamics but are hard to model. Here, authors use a generalization of the maximum entropy principle to introduce a family of curved neural networks, reve...