38 citations · 138 across the 13 of their papers we have counts for
8 papers · 1 filter
Reconfiguring motor circuits for a joint manual and BCI task
Benjamin Lansdell, Ivana Milovanovic, Cooper Mellema +3
Designing brain-computer interfaces (BCIs) that can be used in conjunction with ongoing motor behavior requires an understanding of how neural activity co-opted for brain control i…
Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface
Guillaume Lajoie, Nedialko I. Krouchev, John F. Kalaska +2
Experiments show that spike-triggered stimulation performed with Bidirectional Brain-Computer-Interfaces (BBCI) can artificially strengthen connections between separate neural site…
Constructing precisely computing networks with biophysical spiking neurons
Michael A. Schwemmer, Adrienne L. Fairhall, Sophie Denéve +1
While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computatio…
Adaptive probabilistic neural coding from deterministic spiking neurons: analysis from first principles
Michael Famulare, Adrienne Fairhall
A neuron transforms its input into output spikes, and this transformation is the basic unit of computation in the nervous system. The spiking response of the neuron to a complex, t…
Feature selection in simple neurons: how coding depends on spiking dynamics
Michael Famulare, Adrienne L. Fairhall
The relationship between a neuron's complex inputs and its spiking output defines the neuron's coding strategy. This is frequently and effectively modeled phenomenologically by one…
Intrinsic gain modulation and adaptive neural coding
Sungho Hong, Brian N. Lundstrom, Adrienne Fairhall
In many cases, the computation of a neural system can be reduced to a receptive field, or a set of linear filters, and a thresholding function, or gain curve, which determines the…