scholarly journals Modeling the separation of acoustical signals based on the simulation of spike firing patterns

1994 ◽  
Vol 96 (5) ◽  
pp. 3294-3294
Author(s):  
Kyrill A. Fischer
Keyword(s):  
Firing Patterns ◽  
Acoustical Signals ◽  
Spike Firing

Information-Geometric Measure for Neural Spikes

2002 ◽  
Vol 14 (10) ◽  
pp. 2269-2316 ◽  
Author(s):  
Hiroyuki Nakahara ◽  
Shun-ichi Amari
Keyword(s):  
Information Geometry ◽  
Higher Order ◽  
Neural Firing ◽  
Firing Patterns ◽  
Neural Spikes ◽  
Geometric Measure ◽  
Leibler Divergence ◽  
Novel Method ◽  
Account Information ◽  
Spike Firing

This study introduces information-geometric measures to analyze neural firing patterns by taking not only the second-order but also higher-order interactions among neurons into account. Information geometry provides useful tools and concepts for this purpose, including the orthogonality of coordinate parameters and the Pythagoras relation in the Kullback-Leibler divergence. Based on this orthogonality, we show a novel method for analyzing spike firing patterns by decomposing the interactions of neurons of various orders. As a result, purely pairwise, triple-wise, and higher-order interactions are singled out. We also demonstrate the benefits of our proposal by using several examples.

Reproduction of complex spike firing patterns with modulated effective coupling conductance in inferior olive neurons

2010 ◽  
Vol 68 ◽  
pp. e435 ◽  
Author(s):  
Miho Onizuka ◽  
Nicolas Schweighofer ◽  
Yuichi Katori ◽  
Kazuyuki Aihara ◽  
Keisuke Toyama ◽  
...  
Keyword(s):  
Inferior Olive ◽  
Effective Coupling ◽  
Firing Patterns ◽  
Complex Spike ◽  
Inferior Olive Neurons ◽  
Coupling Conductance ◽  
Spike Firing

Simple and Complex Spike Firing Patterns in Purkinje Cells During Classical Conditioning

2008 ◽  
Vol 7 (4) ◽  
pp. 563-566 ◽  
Author(s):  
Anders Rasmussen ◽  
Dan-Anders Jirenhed ◽  
Germund Hesslow
Keyword(s):  
Classical Conditioning ◽  
Purkinje Cells ◽  
Firing Patterns ◽  
Complex Spike ◽  
Spike Firing

scholarly journals Differential effects of open- and closed-loop intracortical microstimulation on firing patterns of neurons in distant cortical areas

2019 ◽  
Author(s):  
Alberto Averna ◽  
Valentina Pasquale ◽  
Maxwell Murphy ◽  
Maria Piera Rogantin ◽  
Gustaf Van Acker ◽  
...  
Keyword(s):  
Closed Loop ◽  
Activity Patterns ◽  
Brain Lesion ◽  
Local Variation ◽  
Open Loop ◽  
Intracortical Microstimulation ◽  
Firing Patterns ◽  
Electrical Microstimulation ◽  
Activity Dependent ◽  
Spike Firing

AbstractBackgroundIntracortical microstimulation can be used successfully to modulate neuronal activity. Activity-dependent stimulation (ADS), in which action potentials recorded extracellularly from a single neuron are used to trigger stimulation at another cortical location (closed-loop), is an effective treatment for behavioral recovery after brain lesion in rodents. Neurophysiological changes in cortical communication induced by ADS, and how these changes differ from those induced by open-loop random stimulation (RS) are still not clear.ObjectivesWe investigated the ability of ADS and RS to induce changes in firing patterns in distant populations of neurons in healthy anesthetized rats.MethodsFor this study we used 23 adult Long-Evan rats, recording from a total of 591 neuronal units. Stimulation was delivered to either forelimb or barrel field somatosensory cortex, using either randomly-timed stimulus pulses or ADS triggered from neuronal spikes recorded in the rostral forelimb area (RFA) of the motor cortex.ResultsBoth RS and ADS stimulation protocols rapidly altered spike firing within RFA compared with no stimulation. Changes consisted of increases in mean firing rates and patterns of spike firing as measured by the revised Local Variation metric. ADS was more effective than RS in increasing short-latency evoked spikes during the stimulation periods, by producing a reliable, progressive increase in stimulus-related activity over time.ConclusionsThese results are critical for understanding the efficacy of electrical microstimulation protocols in altering activity patterns in interconnected brain networks. These data further strengthen the idea that activity-dependent microstimulation, can be used to modulate cortical state and functional connectivity.

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