Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.

scientific article published in March 2017

Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1147/JRD.2017.2656758
P932PMC publication ID5708558
P698PubMed publication ID29200477

P50authorAmit MajumdarQ58476555
William W. LyttonQ42574297
P2093author name stringC C Kerr
S Sivagnanam
J T Francis
S A Neymotin
S Dura-Bernal
P2860cites workThe BRAIN Initiative: developing technology to catalyse neuroscience discoveryQ26849487
Neural basis of reinforcement learning and decision makingQ27028069
Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic ArmQ27320500
Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning.Q47387512
Adaptive representation of dynamics during learning of a motor taskQ48126188
Solving the distal reward problem through linkage of STDP and dopamine signalingQ48311585
Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex.Q48768613
Cerebellar input configuration toward object model abstraction in manipulation tasks.Q49120944
Generating dynamic simulations of movement using computed muscle control.Q51639793
DARPA-funded efforts in the development of novel brain-computer interface technologiesQ27691384
A critical time window for dopamine actions on the structural plasticity of dendritic spinesQ28397378
Dopaminergic projections from midbrain to primary motor cortex mediate motor skill learningQ28579657
Dopaminergic system in birdsong learning and maintenanceQ28748894
Large-scale model of mammalian thalamocortical systemsQ30481407
Top-down laminar organization of the excitatory network in motor cortexQ30490428
Sublayer-specific microcircuits of corticospinal and corticostriatal neurons in motor cortexQ30494679
Modular neuronal assemblies embodied in a closed-loop environment: toward future integration of brains and machinesQ30529732
An efficient automated parameter tuning framework for spiking neural networksQ30570736
A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfacesQ30578828
Dopamine in motor cortex is necessary for skill learning and synaptic plasticityQ30873734
Towards real-time communication between in vivo neurophysiological data sources and simulator-based brain biomimetic modelsQ31033874
Reinforcement learning of targeted movement in a spiking neuronal model of motor cortexQ34456298
Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortexQ34614356
Reinforcement learning using a continuous time actor-critic framework with spiking neuronsQ34671773
Advances in neuroprosthetic learning and controlQ34734832
A computational neuroanatomy for motor controlQ34746338
Toward Building Hybrid Biological/in silico Neural Networks for Motor Neuroprosthetic Control.Q35935745
Biomimetic brain machine interfaces for the control of movementQ36980570
Parallel network simulations with NEURON.Q37126938
Automated neuron model optimization techniques: a reviewQ37326538
Dynamically repairing and replacing neural networks: using hybrid computational and biological tools.Q37985678
Restoring sensorimotor function through intracortical interfaces: progress and looming challengesQ38205112
Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.Q38294738
Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.Q39348104
Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON.Q39457709
Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neuronsQ39828912
Reconstruction and Simulation of Neocortical Microcircuitry.Q40320870
A neuro-inspired model-based closed-loop neuroprosthesis for the substitution of a cerebellar learning function in anesthetized ratsQ41809323
Closed-Loop Brain Model of Neocortical Information-Based ExchangeQ41926639
Accurate decoding of reaching movements from field potentials in the absence of spikesQ41984199
Reaching movement onset- and end-related characteristics of EEG spectral power modulationsQ42081163
The neural optimal control hierarchy for motor controlQ42496942
Motor cortex microcircuit simulation based on brain activity mapping.Q42572893
Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortexQ43071502
Newsmaker interview: Geoffrey Ling. DARPA aims to rebuild brains. Interview by Emily UnderwoodQ45185757
Reading and writing the neural codeQ45326036
P433issue2-3
P921main subjectbiomimeticsQ1145644
evolutionary algorithmQ14489129
P304page(s)6.1-6.14
P577publication date2017-03-01
P1433published inIBM Journal of Research and DevelopmentQ15753899
P1476titleEvolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis
P478volume61

Reverse relations

cites work (P2860)
Q83227824Brian 2, an intuitive and efficient neural simulator
Q91677327Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Q64283421NetPyNE, a tool for data-driven multiscale modeling of brain circuits
Q92759713Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
Q52352955Optimization by Adaptive Stochastic Descent.
Q36168395Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.

Search more.