Stephen E Clarke

Fast timescale reparameterization of stable neural manifolds

This paper shows that motor cortex maintains a dynamic library of state eigenvectors that generalize over reach directions, with stable dynamics that drift and jump during repetitive tasks.

Signatures of covert neuron loss in the local field potential of motor cortex

This paper investigates the effects of covert neuron loss on local field potential spectra in motor cortex using electrolytic lesions in large animals, finding prolonged spectral changes despite no behavioral impact.

Non-saturating dimensionality, contextual dependence, and the limits of unsupervised decoding in motor cortex

The paper shows that unsupervised dimensionality in motor cortex does not reflect movement complexity but instead scales with neuron count and is context-dependent, challenging assumptions about neural representation.

Compression Detects Changes in Spiking Neural Data from Cortical Lesions

This paper uses compression metrics to detect changes in spiking neural data from cortical lesions, finding that compression-based methods outperform single-neuron metrics in lesion detection accuracy.

Stiefel Manifold Dynamical Systems for Tracking Representational Drift

This paper introduces SMDS, a model that accounts for representational drift in neural data, outperforming LDS in log-likelihood and requiring fewer latent dimensions.

Stability of neural manifolds at minimal dimensionality despite motor representational drift

The paper shows that neural manifolds remain stable in low dimensions despite motor representation drift, with encoding maps changing while latent maps stay stable.

Context-dependent low-dimensional neural dynamics unfold in distinct subspaces, dimensionality, and dynamical strength for natural walking and reaching

The paper compares neural dynamics during walking and reaching, finding that reaching has higher dimensionality and faster decay in dynamical systems than walking.

Material Damage to Multielectrode Arrays after Electrolytic Lesioning is in the Noise

This paper examines damage to implanted multielectrode arrays after electrolytic lesioning and finds no significant difference in damage compared to normal arrays.

Neuroelectrophysiology-Compatible Electrolytic Lesioning

This paper introduces an electrolytic lesioning technique compatible with neuroelectrophysiology recordings, enabling precise brain lesioning without disrupting electrophysiological measurements.

Cellular and network mechanisms may generate sparse coding of sequential object encounters in hippocampal-like circuits

The paper investigates the cellular and network mechanisms in the dorsal lateral pallium of fish that generate sparse coding of sequential object encounters.

Analog Signalling with ‘Digital’ Molecular Switches

The paper investigates how a bistable molecular switch like CaMKII can encode both short and long timescale information through analog signaling around stable states.