Inferring single-trial neural population dynamics using sequential auto-encoders
Neuroscience is experiencing a revolution in which simultaneous recording of thousands of
neurons is revealing population dynamics that are not apparent from single-neuron …
neurons is revealing population dynamics that are not apparent from single-neuron …
Neural data transformer 2: multi-context pretraining for neural spiking activity
The neural population spiking activity recorded by intracortical brain-computer interfaces
(iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for …
(iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for …
Scaling properties of dimensionality reduction for neural populations and network models
RC Williamson, BR Cowley… - PLoS computational …, 2016 - journals.plos.org
Recent studies have applied dimensionality reduction methods to understand how the multi-
dimensional structure of neural population activity gives rise to brain function. It is unclear …
dimensional structure of neural population activity gives rise to brain function. It is unclear …
The Hamiltonian brain: Efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics
L Aitchison, M Lengyel - PLoS computational biology, 2016 - journals.plos.org
Probabilistic inference offers a principled framework for understanding both behaviour and
cortical computation. However, two basic and ubiquitous properties of cortical responses …
cortical computation. However, two basic and ubiquitous properties of cortical responses …
Signatures of criticality arise from random subsampling in simple population models
The rise of large-scale recordings of neuronal activity has fueled the hope to gain new
insights into the collective activity of neural ensembles. How can one link the statistics of …
insights into the collective activity of neural ensembles. How can one link the statistics of …