[HTML][HTML] Using artificial neural networks to ask 'why'questions of minds and brains
Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
A unifying perspective on neural manifolds and circuits for cognition
Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …
behaviour. One approach seeks to identify neural circuit elements that carry out specific …
Toroidal topology of population activity in grid cells
The medial entorhinal cortex is part of a neural system for mapping the position of an
individual within a physical environment. Grid cells, a key component of this system, fire in a …
individual within a physical environment. Grid cells, a key component of this system, fire in a …
No free lunch from deep learning in neuroscience: A case study through models of the entorhinal-hippocampal circuit
Research in Neuroscience, as in many scientific disciplines, is undergoing a renaissance
based on deep learning. Unique to Neuroscience, deep learning models can be used not …
based on deep learning. Unique to Neuroscience, deep learning models can be used not …
Self-supervised learning of representations for space generates multi-modular grid cells
To solve the spatial problems of mapping, localization and navigation, the mammalian
lineage has developed striking spatial representations. One important spatial representation …
lineage has developed striking spatial representations. One important spatial representation …
Decoding the brain: From neural representations to mechanistic models
A central principle in neuroscience is that neurons within the brain act in concert to produce
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …
Neural representational geometry underlies few-shot concept learning
B Sorscher, S Ganguli… - Proceedings of the …, 2022 - National Acad Sciences
Understanding the neural basis of the remarkable human cognitive capacity to learn novel
concepts from just one or a few sensory experiences constitutes a fundamental problem. We …
concepts from just one or a few sensory experiences constitutes a fundamental problem. We …
The grid code for ordered experience
Entorhinal cortical grid cells fire in a periodic pattern that tiles space, which is suggestive of a
spatial coordinate system. However, irregularities in the grid pattern as well as responses of …
spatial coordinate system. However, irregularities in the grid pattern as well as responses of …
A generative model of the hippocampal formation trained with theta driven local learning rules
Advances in generative models have recently revolutionised machine learning. Meanwhile,
in neuroscience, generative models have long been thought fundamental to animal …
in neuroscience, generative models have long been thought fundamental to animal …
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Medial entorhinal cortex (MEC) supports a wide range of navigational and memory related
behaviors. Well-known experimental results have revealed specialized cell types in MEC …
behaviors. Well-known experimental results have revealed specialized cell types in MEC …