Paper Info
Title
Signal detection in noisy weakly-active dendrites
Abstract
Here we derive measures quantifying the information loss of a synaptic signal due to the presence of neuronalnoise sources, as it electrotonically propagates along a weakly-active dendrite . We model the dendrite as an infinite linear cable, with noise sources distributed along its length. The noise sources we consider are thermal noise, channel noise arising from the stochastic nature of voltage-dependent ionic channels (K and Na ) andsynapticnoise duetospontaneousbackgroundactivity. We assess the efficacy of information transfer using a signal detection paradigm where the objectiveis to detectthe presence/absenceof a presynapticspike from thepost-synapticmembranevoltage. Thisallows us to analyticallyassess the role of each of these noise sources in information transfer. For our choice of parameters, we find that the synaptic noise is the dominant noise source which limits the maximum length over which information be reliably transmitted.
Year
Venue
Keywords
1998
Proceedings of the 1998 conference on Advances in neural information processing systems II
noisy weakly-active dendrites,signal detection,thermal noise,information transfer
Field
DocType
Volume
Noise floor,Noise (signal processing),Detection theory,Computer science,Noise (electronics),Neuronal noise,Artificial intelligence,Stochastic resonance,Quantum noise,Machine learning,Synaptic noise
Conference
11
ISSN
ISBN
Citations 
1049-5258
0-262-11245-0
2
PageRank 
References 
Authors
0.93
2
2
Name
Order
Citations
PageRank
Amit Manwani15611.11
Christof Koch27248973.47