[HTML][HTML] full-FORCE: A target-based method for training recurrent networks
… iid from a Gaussian distribution with zero mean and variance g 2 /N. We generally use a g
value slightly greater than 1 (for all of the examples we present here, g = 1.5), meaning that, in …
value slightly greater than 1 (for all of the examples we present here, g = 1.5), meaning that, in …
[HTML][HTML] Remembrance of things practiced with fast and slow learning in cortical and subcortical pathways
JM Murray, GS Escola - Nature Communications, 2020 - nature.com
The learning of motor skills unfolds over multiple timescales, with rapid initial gains in
performance followed by a longer period in which the behavior becomes more refined, habitual, …
performance followed by a longer period in which the behavior becomes more refined, habitual, …
Learning multiple variable-speed sequences in striatum via cortical tutoring
JM Murray, GS Escola - Elife, 2017 - elifesciences.org
10.7554/eLife.26084.001 Sparse, sequential patterns of neural activity have been observed
in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such …
in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such …
Dissociating the contributions of sensorimotor striatum to automatic and visually guided motor sequences
The ability to sequence movements in response to new task demands enables rich and
adaptive behavior. However, such flexibility is computationally costly and can result in halting …
adaptive behavior. However, such flexibility is computationally costly and can result in halting …
Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences
L Logiaco, GS Escola - arXiv preprint arXiv:2006.13332, 2020 - arxiv.org
We study learning of recurrent neural networks that produce temporal sequences consisting
of the concatenation of re-usable "motifs". In the context of neuroscience or robotics, these …
of the concatenation of re-usable "motifs". In the context of neuroscience or robotics, these …
[HTML][HTML] Motor cortex is required for flexible but not automatic motor sequences
How motor cortex contributes to motor sequence execution is much debated, with studies
supporting disparate views. Here we probe the degree to which motor cortex’s engagement …
supporting disparate views. Here we probe the degree to which motor cortex’s engagement …
Reconstruction of Metabolic Networks from High‐Throughput Metabolite Profiling Data: In Silico Analysis of Red Blood Cell Metabolism
I Nemenman, GS Escola, WS Hlavacek… - Annals of the New …, 2007 - Wiley Online Library
We investigate the ability of algorithms developed for reverse engineering of transcriptional
regulatory networks to reconstruct metabolic networks from high‐throughput metabolite …
regulatory networks to reconstruct metabolic networks from high‐throughput metabolite …
Optimization and scaling of patient-derived brain organoids uncovers deep phenotypes of disease
Cerebral organoids provide unparalleled access to human brain development in vitro.
However, variability induced by current culture methodologies precludes using organoids as …
However, variability induced by current culture methodologies precludes using organoids as …
Dissociating the contributions of sensorimotor striatum to automatic and visually-guided motor sequences
The ability to sequence movements in response to new task demands enables rich and
adaptive behavior. Such flexibility, however, is computationally costly and can result in halting …
adaptive behavior. Such flexibility, however, is computationally costly and can result in halting …
[PDF][PDF] Similar striatal activity exerts different control over automatic and flexible motor sequences
The ability to sequence discrete movements in new ways enables rich and adaptive
behavior. Such flexibility can be computationally costly and result in halting performances. …
behavior. Such flexibility can be computationally costly and result in halting performances. …