Fundamental filter properties of spiking neurons don’t constrain detectability of communication signals in weakly electric fish

نویسندگان

  • Jan Benda
  • André Longtin
  • Leonard Maler
چکیده

Many experimental studies demonstrate a match between the transfer function of sensory neurons and the statistics of natural stimuli. However, neurons might not be able to adapt to any given stimulus statistics due to very basic constraints. The high-pass nature of spike-frequency adaptation (Benda and Herz, 2003) emphasizes fast stimulus components over slow stimuli (Benda et al., 2005). The cut-off frequency separating fast from slow stimuli is set by the adaptation time constant. In addition, a low-pass filter due to the interspike intervals limits information transmission at high frequencies (Knight, 1972). This low-pass filter might constrain the high-pass filter in optimally adapting its cutoff-frequency. First, we introduce the basic filter properties of adapting neurons. We then present data and simulations from electroreceptors of the weakly electric fish Apteronotus leptorhynchus demonstrating that the actual cut-off frequency of the high-pass filter is not constrained by the low-pass filter.

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تاریخ انتشار 2007