Frederic D. Broccard
University of California, San Diego
10 Papers
36 Citations
Frederic D. Broccard is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Neuromorphic engineering & Biological neural network. The author has an hindex of 6, co-authored 10 publications. Previous affiliations of Frederic D. Broccard include International School for Advanced Studies.
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Papers
On the dynamics of the spontaneous activity in neuronal networks.
Alberto Mazzoni,Frederic D. Broccard,Elizabeth Garcia-Perez,Paolo Bonifazi,Maria Elisabetta Ruaro,Vincent Torre +5 more
TL;DR: The present work shows that the spontaneous activity of two very different networks, intact leech ganglia and dissociated cultures of rat hippocampal neurons, share several features, suggesting that the spontaneously occurring electrical activity in neuronal networks with different architectures and functions can have very similar properties and common dynamics.
Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disorders.
Frederic D. Broccard,Tim Mullen,Yu M. Chi,David A. Peterson,David A. Peterson,John R. Iversen,Mike Arnold,Kenneth Kreutz-Delgado,Tzyy-Ping Jung,Scott Makeig,Howard Poizner,Terrence J. Sejnowski,Terrence J. Sejnowski,Terrence J. Sejnowski,Gert Cauwenberghs +14 more
TL;DR: A novel, transformative, noninvasive closed-loop framework based on force neurofeedback is presented and several future developments of closed- loop systems that might bring us closer to individualized solutions for neurological rehabilitation of movement disorders are discussed.
Assimilation of Biophysical Neuronal Dynamics in Neuromorphic VLSI
Jun Wang,Daniel Breen,Abraham Akinin,Frederic D. Broccard,Henry D. I. Abarbanel,Gert Cauwenberghs +5 more
TL;DR: A set of procedures assimilating and emulating neurobiological data on a neuromorphic very large scale integrated (VLSI) circuit to enable the use of NeuroDyn as a tool to probe electrical and molecular properties of functional neural circuits.
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Neuromorphic Dynamical Synapses With Reconfigurable Voltage-Gated Kinetics
TL;DR: This work extends the repertoire of synapse types between silicon neurons, providing greater flexibility for the design and implementation of biologically realistic neural networks on neuromorphic chips.
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Characterization of the time course of changes of the evoked electrical activity in a model of a chemically-induced neuronal plasticity
TL;DR: The time course of changes of the evoked electrical activity during neuronal plasticity is analysed and correlated with a transcriptional analysis of the underlying changes of gene expression, in agreement with the notion that neuronal Plasticity is mediated by several distinct pathways working in unison.