Daniel Breen
University of California, San Diego
6 Papers
43 Citations
Daniel Breen is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Neuromorphic engineering & Synchronization. The author has an hindex of 4, co-authored 6 publications.
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Papers
A unifying view of synchronization for data assimilation in complex nonlinear networks.
Henry D. I. Abarbanel,Sasha Shirman,Daniel Breen,Nirag Kadakia,Daniel Rey,Eve Armstrong,Daniel Margoliash +6 more
TL;DR: A general framework for the tasks involved in the "inverse" problem of determining properties of a model built to represent measured output from physical, biological, or other processes when the measurements are noisy, the model has errors, and the state of the model is unknown when measurements begin is described.
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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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Data assimilation of membrane dynamics and channel kinetics with a neuromorphic integrated circuit
Jun Wang,Daniel Breen,Abraham Akinin,Henry D. I. Abarbanel,Gert Cauwenberghs +4 more
- 01 Oct 2016
TL;DR: Experiments using DA to characterize the dynamics of a neuromorphic very large-scale integrated (VLSI) circuit emulating membrane dynamics and channel kinetics in a network of 4 generalized Hodgkin-Huxley neurons coupled through 12 conductance-based chemical synapses are presented.
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•Posted Content
Nonlinear Statistical Data Assimilation for HVC$_{\text{RA}}$ Neurons in the Avian Song System
Nirag Kadakia,Eve Armstrong,Daniel Breen,Uriel I. Morone,Arij Daou,Daniel Margoliash,Henry D. I. Abarbanel +6 more
TL;DR: A model of HVC projection neurons comprised of a somatic compartment with fast Na and K currents and a dendritic compartment with slower Ca dynamics, which qualitatively exhibits many observed electrophysiological behaviors is discussed.
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•Posted Content
HVC Interneuron Properties from Statistical Data Assimilation
TL;DR: This work uses biophysically motivated Hodgkin-Huxley (HH) models of avian HVCI neurons, experimentally obtained recordings of these neurons, and the data assimilation algorithm to infer the full set of parameters and a minimal set of ionic currents precisely reproducing the observed waveform information.
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