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Statistical Data Assimilation: Formulation and Examples From Neurobiology
2018
Frontiers in Applied Mathematics and Statistics
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very large scale integration (VLSI) analog circuits with a goal of building functional, biophysically realistic, VLSI representations of functional nervous systems. ...
Then we report on the application of SDA to (1) the exploration of properties of individual neurons in the HVC nucleus of the avian song system, and (2) characterizing individual neurons formulated as ...
Analysis of Neuromorphic VLSI Instantiations of Neurons An ambitious effort in neuroscience is the creation of low power consumption analog neural-emulating VLSI circuitry. ...
doi:10.3389/fams.2018.00053
fatcat:wvtwnzryhffzzbmuqogex6lomq
Statistical Data Assimilation: Formulation and Examples from Neurobiology
[article]
2018
arXiv
pre-print
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very large scale integration (VLSI) analog circuits with a goal of building functional, biophysically realistic, VLSI representations of functional nervous systems. ...
Then we report on the application of SDA to (1) the exploration of properties of individual neurons in the HVC nucleus of the avian song system, and (2) characterizing individual neurons formulated as ...
Analysis of Neuromorphic VLSI Instantiations of Neurons An ambitious effort in neuroscience is the creation of low power consumption analog neural-emulating VLSI circuitry. ...
arXiv:1809.05196v1
fatcat:onttxzymyfhqjohiwgvo3tgxhm
2022 Roadmap on Neuromorphic Computing and Engineering
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2105.05956v2 fatcat:n5zeug6lnfgn3jvmnh2w6sckzyOther Versions
The aim of this Roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic ...
The Roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges. ...
Acknowledgements The research was funded in part by C-BRIC, one of six centres in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA, the National Science Foundation, the Technology ...
arXiv:2105.05956v3
fatcat:pqir5infojfpvdzdwgmwdhsdi4
Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain
2019
Advanced Materials Interfaces
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Neuromorphic or synaptic electronics is an emerging field of research aiming to overcome the current computer's Von-Neumann bottleneck by building artificial neuronal systems to mimic the extremely energy ...
This perspective is focused on recent progress in the implementation of functional oxide thinfilms into photovoltaic and neuromorphic applications towards the envisioned goal of selfpowered photovoltaic ...
The ICN2 is funded by the CERCA programme / Generalitat de Catalunya and by the Severo Ochoa programme of the Spanish Ministry of Economy, Industry and Competitiveness (MINECO, grant no. ...
doi:10.1002/admi.201900471
fatcat:ypssywb5njbqnhdo76bqjxnoum
Data Assimilation Methods for Neuronal State and Parameter Estimation
2018
Journal of Mathematical Neuroscience
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Abstract This tutorial illustrates the use of data assimilation algorithms to estimate unobserved variables and unknown parameters of conductance-based neuronal models. ...
Depending on parameters, the Morris-Lecar model exhibits qualitatively different types of neuronal excitability due to changes in the underlying bifurcation structure. ...
The funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript should be declared. ...
doi:10.1186/s13408-018-0066-8
pmid:30094571
pmcid:PMC6085278
fatcat:woxugoyl5rc2tiigbz5fe4c4yi
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
2021
Journal of Computational Neuroscience
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One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized ...
Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes. ...
O14 On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia
Acknowledgements
This work was supported by NIH-NIBIB (R01-EB027584). ...
doi:10.1007/s10827-021-00801-9
pmid:34931275
pmcid:PMC8687879
fatcat:evpmmfpaivgpxdqpive5xdgmwu
2022 roadmap on neuromorphic computing and engineering
2022
Preserved Fulltext
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The file type is application/pdf.
The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic ...
The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. ...
Acknowledgements This work was supported in part by the National Natural Science Foundation of China (61625402, 62034004, 61921005, 61974176), and the Collaborative Innovation Center of Advanced Microstructures ...
doi:10.5167/uzh-231198
fatcat:oiskfbnlhrf7zfh35knmjxj4ae
2022 roadmap on neuromorphic computing and engineering
2022
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic ...
The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. ...
Acknowledgements This work was supported in part by the National Natural Science Foundation of China (61625402, 62034004, 61921005, 61974176), and the Collaborative Innovation Center of Advanced Microstructures ...
doi:10.3929/ethz-b-000529282
fatcat:x5s5lalqqbbn7fb6gmpqmbqkxu
2021 Roadmap on Neuromorphic Computing and Engineering
[article]
2021
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This roadmap envisages the potential applications of neuromorphic materials in cutting edge technologies and focuses on the design and fabrication of artificial neural systems. ...
learning in the context of complex and unstructured data. ...
Acknowledgements The research was funded in part by C-BRIC, one of six centres in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA, the National Science Foundation, the Technology ...
doi:10.13016/m2n6ua-rira
fatcat:vyxf3tz2g5cptgzrqctyzftocq
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates
2014
Zenodo
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The budget request details the proposed investments $80 million to develop new sets of tools for imaging and analytics of neural and synaptic brain activities that will improve diagnosis and care of wounded ...
Included in this category is the National Center for Advancing Translational Sciences (NCATS) efforts to reengineer drug discovery and development in collaboration with industry, academia, the Food and ...
FY 2013 Accomplishments: -Fabricated neuromorphic chips of 1 million neurons performing behavioral tests in the virtual environment. ...
doi:10.5281/zenodo.1215345
fatcat:fjzhmynqjbaafk67q2ckcblj2m
Leveraging Artificial Intelligence to Advance Problem-Solving with Quantum Annealers
[article]
2021
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In reinforcement quantum annealing (RQA) scheme, an intelligent agent interacts with a quantum annealer that plays the stochastic environment role of learning automata and searches in the space of Hamiltonians ...
., more robust behavior of quantum annealers, compared to recent software and hardware advancements in quantum annealing. ...
and VLSI [74, 153] . ...
doi:10.13016/m28hdb-uoun
fatcat:eomp7egs2ncknpk4ynmfaps3gy