Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

Network: Computation in Neural Systems, 2003 - Taylor & Francis
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

[PDF][PDF] Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network, 2003 - researchgate.net
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: Minimal model analysis

G Svirskis, J Rinzel - Network: Computation in Neural Systems, 2003 - nyuscholars.nyu.edu
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network (Bristol, England), 2003 - pubmed.ncbi.nlm.nih.gov
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

Influence of subthreshold nonlinearities on signal-to-noise ratio and timingprecision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network: Computation in Neural Systems, 2003 - iopscience.iop.org
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis.

G Svirskis, J Rinzel - Network (Bristol, England), 2003 - europepmc.org
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

[HTML][HTML] Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network (Bristol, England), 2003 - ncbi.nlm.nih.gov
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …

[引用][C] Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network: Computation in Neural Systems, 2003 - cir.nii.ac.jp
Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small
signals in neurons: minimal model analysis | CiNii Research CiNii 国立情報学研究所 学術情報 …

[引用][C] Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G SVIRSKIS, J RINZEL - Network (Bristol. Print), 2003 - pascal-francis.inist.fr
Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for
small signals in neurons: minimal model analysis CNRS Inist Pascal-Francis CNRS Pascal …

Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis

G Svirskis, J Rinzel - Network: computation in neural systems. Bristol: IOP …, 2003 - lsmu.lt
Subthreshold voltage-and time-dependent conductances can subserve different roles in
signal integration and action potential generation. Here, we use minimal models to …