The Reliability of Neurons

Bullock, Theodore H.

doi:10.1085/jgp.55.5.565

Cited by 94 publications

(46 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variation in the inter-EOD intervals in Gymnarchus and Apteronotus is on the order of 10 -7 to 10 -6 seconds (Bullock, 1970;Guo and Kawasaki, 1997;Moortgat et al, 2000). As will be mentioned below, this precision is reflected in neural time coding and behavioral sensitivity.…”

Section: Basic Mechanisms Of Electrogenesis and Electroreceptionmentioning

confidence: 98%

Multiple Cases of Striking Genetic Similarity Between Alternate Electric Fish Signal Morphs in Sympatry

Arnegard

Bogdanowicz

Hopkins

2005

Evol

View full text Add to dashboard Cite

Section: Basic Mechanisms Of Electrogenesis and Electroreceptionmentioning

confidence: 98%

Multiple Cases of Striking Genetic Similarity Between Alternate Electric Fish Signal Morphs in Sympatry

Arnegard

Bogdanowicz

Hopkins

2005

Evol

View full text Add to dashboard Cite

“…First, there is the long-standing question of whether networks are in principle deterministic (see Bullock 1970). The answer could depend on the system, function, or conditions examined: some effects are highly predictable, while others are stochastic (probabilistic).…”

Section: Do We Have To Go Beyond Traditional Criteria?mentioning

confidence: 99%

Neuronal network analyses: premises, promises and uncertainties

Parker

2010

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

Neuronal networks assemble the cellular components needed for sensory, motor and cognitive functions. Any rational intervention in the nervous system will thus require an understanding of network function. Obtaining this understanding is widely considered to be one of the major tasks facing neuroscience today. Network analyses have been performed for some years in relatively simple systems. In addition to the direct insights these systems have provided, they also illustrate some of the difficulties of understanding network function. Nevertheless, in more complex systems (including human), claims are made that the cellular bases of behaviour are, or will shortly be, understood. While the discussion is necessarily limited, this issue will examine these claims and highlight some traditional and novel aspects of network analyses and their difficulties. This introduction discusses the criteria that need to be satisfied for network understanding, and how they relate to traditional and novel approaches being applied to addressing network function.

show abstract

“…The fish can also use their EODs to communicate by detecting the interactions of their own EOD with those of other fish. Individual apteronotid fish maintain an extremely stable EOD frequency (EODf) (Bullock, 1970;Moortgat et al, 1998) and waveform (Rasnow and Bower, 1996). In addition to using the baseline EOD frequency and waveform as communication signals, fish also modulate the frequency and amplitude of the EOD during social interactions Electrocommunication signals in electric fish are diverse, easily recorded and have well-characterized neural control.…”

mentioning

confidence: 99%

Phylogenetic comparative analysis of electric communication signals in ghost knifefishes (Gymnotiformes: Apteronotidae)

Turner

Derylo

Santana

et al. 2007

Journal of Experimental Biology

116

View full text Add to dashboard Cite

The evolution of communication behavior, like that of all traits, is shaped both by external forces of natural and sexual selection and by internal forces of development and physiology. Complexity in both the function and production mechanisms of communication signals makes them a powerful model for understanding evolutionary interactions within and across levels of biological organization (Ryan, 2005).Electrocommunication in weakly electric fish is an outstanding model for integrating mechanistic and historical biology (sensu Autumn et al., 2002) because these behaviors are diverse across species, are easily recorded and analyzed, and are controlled by a well-characterized neural circuit. The family Apteronotidae is particularly well-suited for a comparative approach because it has the highest species diversity among Neotropical electric fish (Crampton and Albert, 2006). Apteronotids continuously emit a quasi-sinusoidal voltage signal or electric organ discharge (EOD) that has two functions. Nearby objects locally distort the electric field generated by the EOD, and by detecting these distortions with their electroreceptors, fish can electrolocate. The fish can also use their EODs to communicate by detecting the interactions of their own EOD with those of other fish. Individual apteronotid fish maintain an extremely stable EOD frequency (EODf) (Bullock, 1970;Moortgat et al., 1998) and waveform (Rasnow and Bower, 1996). In addition to using the baseline EOD frequency and waveform as communication signals, fish also modulate the frequency and amplitude of the EOD during social interactions Electrocommunication signals in electric fish are diverse, easily recorded and have well-characterized neural control. Two signal features, the frequency and waveform of the electric organ discharge (EOD), vary widely across species. Modulations of the EOD (i.e. chirps and gradual frequency rises) also function as active communication signals during social interactions, but they have been studied in relatively few species. We compared the electrocommunication signals of 13 species in the largest gymnotiform family, Apteronotidae. Playback stimuli were used to elicit chirps and rises. We analyzed EOD frequency and waveform and the production and structure of chirps and rises. Species diversity in these signals was characterized with discriminant function analyses, and correlations between signal parameters were tested with phylogenetic comparative methods. Signals varied markedly across species and even between congeners and populations of the same species. Chirps and EODs were particularly evolutionarily labile, whereas rises differed little across species. Although all chirp parameters contributed to species differences in these signals, chirp amplitude modulation, frequency modulation (FM) and duration were particularly diverse. Within this diversity, however, interspecific correlations between chirp parameters suggest that mechanistic trade-offs may shape some aspects of signal evolution. In particular, a consistent trade-of...

show abstract

The Reliability of Neurons

Cited by 94 publications

References 50 publications

Multiple Cases of Striking Genetic Similarity Between Alternate Electric Fish Signal Morphs in Sympatry

Multiple Cases of Striking Genetic Similarity Between Alternate Electric Fish Signal Morphs in Sympatry

Neuronal network analyses: premises, promises and uncertainties

Phylogenetic comparative analysis of electric communication signals in ghost knifefishes (Gymnotiformes: Apteronotidae)

Contact Info

Product

Resources

About