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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 …
Reconstructing computational system dynamics from neural data with recurrent neural networks
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 …
equations. The behaviour of such systems is the subject of dynamical systems theory …
Geometry of abstract learned knowledge in the hippocampus
Hippocampal neurons encode physical variables,,,,,–such as space or auditory frequency in
cognitive maps. In addition, functional magnetic resonance imaging studies in humans have …
cognitive maps. In addition, functional magnetic resonance imaging studies in humans have …
Preparatory activity and the expansive null-space
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 …
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
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 …
Widespread application of dimensionality reduction to multi-neuron recordings implies that …
Computation through neural population dynamics
Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …
within the coordinated activity of interconnected neural populations. An emerging challenge …
Neural population geometry: An approach for understanding biological and artificial neural networks
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 …
and function of neural circuits. At the same time, advances in machine learning have …
The population doctrine in cognitive neuroscience
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 …
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
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 …
and interpreting neural data. Effective dimensionality has emerged as an important property …
Movement is governed by rotational neural dynamics in spinal motor networks
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 …
underlying neural principles remain unclear. As flexor and extensor muscle activities …