Name
Abstract | ||
|---|---|---|
The characterization of coordinated activity in neuronal populations has received renewed interest in the light of advancing experimental techniques that allow recordings from multiple units simultaneously. Across both in vitro and in vivo preparations, nearby neurons show coordinated responses when spontaneously active and when subject to external stimuli. Recent work (Truccolo, Hochberg, & Donoghue, 2010 ) has connected these coordinated responses to behavior, showing that small ensembles of neurons in arm-related areas of sensorimotor cortex can reliably predict single-neuron spikes in behaving monkeys and humans. We investigate this phenomenon using an analogous point process model, showing that in the case of a computational model of cortex responding to random background inputs, one is similarly able to predict the future state of a single neuron by considering its own spiking history, together with the spiking histories of randomly sampled ensembles of nearby neurons. This model exhibits realistic cortical architecture and displays bursting episodes in the two distinct connectivity schemes studied. We conjecture that the baseline predictability we find in these instances is characteristic of locally connected networks more broadly considered. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1162/NECO_a_00343 | Neural Computation |
Keywords | Field | DocType |
own spiking history,distinct connectivity scheme,arm-related area,experimental technique,sensorimotor cortex,spiking history,baseline predictability,computational model,analogous point process model,single-neuron activity,nearby neuron,computer model,neuronal activity,action potentials,point process,predictive value of tests,computer simulation | Cortex (botany),Bursting,Neuroscience,Nerve net,Computer science,Point process,Artificial intelligence,Sensorimotor cortex,Stimulus (physiology),Neuron,Machine learning | Journal |
Volume | Issue | ISSN |
24 | 10 | 1530-888X |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feraz Azhar | 1 | 1 | 0.68 |
| William S. Anderson | 2 | 10 | 5.52 |