A unifying perspective on neural manifolds and circuits for cognition

C Langdon, M Genkin, TA Engel - Nature Reviews Neuroscience, 2023 - nature.com
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 …

Reconstructing computational system dynamics from neural data with recurrent neural networks

D Durstewitz, G Koppe, MI Thurm - Nature Reviews Neuroscience, 2023 - nature.com
Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

Geometry of abstract learned knowledge in the hippocampus

EH Nieh, M Schottdorf, NW Freeman, RJ Low… - Nature, 2021 - nature.com
Hippocampal neurons encode physical variables,,,,,–such as space or auditory frequency in
cognitive maps. In addition, functional magnetic resonance imaging studies in humans have …

Preparatory activity and the expansive null-space

MM Churchland, KV Shenoy - Nature Reviews Neuroscience, 2024 - nature.com
The study of the cortical control of movement experienced a conceptual shift over recent
decades, as the basic currency of understanding shifted from single-neuron tuning towards …

Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number

J Manley, S Lu, K Barber, J Demas, H Kim, D Meyer… - Neuron, 2024 - cell.com
The brain's remarkable properties arise from the collective activity of millions of neurons.
Widespread application of dimensionality reduction to multi-neuron recordings implies that …

Computation through neural population dynamics

S Vyas, MD Golub, D Sussillo… - Annual review of …, 2020 - annualreviews.org
Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

Neural population geometry: An approach for understanding biological and artificial neural networks

SY Chung, LF Abbott - Current opinion in neurobiology, 2021 - Elsevier
Advances in experimental neuroscience have transformed our ability to explore the structure
and function of neural circuits. At the same time, advances in machine learning have …

The population doctrine in cognitive neuroscience

RB Ebitz, BY Hayden - Neuron, 2021 - cell.com
A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity

M Jazayeri, S Ostojic - Current opinion in neurobiology, 2021 - Elsevier
The ongoing exponential rise in recording capacity calls for new approaches for analysing
and interpreting neural data. Effective dimensionality has emerged as an important property …

Movement is governed by rotational neural dynamics in spinal motor networks

H Lindén, PC Petersen, M Vestergaard, RW Berg - Nature, 2022 - nature.com
Although the generation of movements is a fundamental function of the nervous system, the
underlying neural principles remain unclear. As flexor and extensor muscle activities …