Fundamental limits of forced asynchronous spiking with integrate and fire dynamics
The manipulation of networks of neurons in the brain through the use of extrinsic controls—
neurocontrol—is a key problem in experimental neuroscience [1]. Such capability has the …
neurocontrol—is a key problem in experimental neuroscience [1]. Such capability has the …
Control analysis and design for statistical models of spiking networks
A Nandi, MM Kafashan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
A popular approach to characterizing activity in neuronal networks is the use of statistical
models that describe neurons in terms of their firing rates (ie, the number of spikes produced …
models that describe neurons in terms of their firing rates (ie, the number of spikes produced …
Optimal control for fast, accurate threshold-hitting
A convenient and popular approach to modeling events in physical processes is to equip a
latent dynamical model with a threshold that, when hit, indicates occurrence. In a …
latent dynamical model with a threshold that, when hit, indicates occurrence. In a …
Controllability analysis and design for underactuated stochastic neurocontrol
S Huang - 2019 - search.proquest.com
Neuroengineering has advanced tremendously over the past decade, but for sensory
prosthetics and similar applications, it remains an extraordinary challenge to access …
prosthetics and similar applications, it remains an extraordinary challenge to access …
[图书][B] Extrinsic and Intrinsic Control of Integrative Processes in Neural Systems
A Nandi - 2017 - search.proquest.com
At the simplest dynamical level, neurons can be understood as integrators. That is, neurons
accumulate excitation from afferent neurons until, eventually, a threshold is reached and …
accumulate excitation from afferent neurons until, eventually, a threshold is reached and …