Dynamical Cell Assembly Hypothesis — Theoretical Possibility of Spatio-temporal Coding in the Cortex

Fujii, Hiroshi; Ito, Hiroyuki; Aihara, Kazuyuki; Ichinose, Natsuhiro; Tsukada, Masaru

doi:10.1016/s0893-6080(96)00054-8

Cited by 228 publications

(151 citation statements)

References 104 publications

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“…The result that information is transmitted via phase modulations, which are referred to as being frequency modulations in electrical engineering literature or modulations of interspike intervals in neuroscience literature, resembles the theory of syn-fire chains (Abeles, 1991;Abeles et al, 1994). The result that the neural network can be subdivided into relatively independent ensembles, which can be reorganized by an external input, resembles the theory of a dynamical cell assembly proposed by Fujii et al (1996), who refer to the external input as being a context. Finally, we contrast our theory with the theory of dynamic link architecture proposed by von der Malsburg (1995); (see also Terman and Wang, 1995), which considers neurons having identical frequencies but different phases.…”

Section: Discussionmentioning

confidence: 84%

“…The latter have been expressed many times before in the context of non-oscillating neurons (see, e.g. Abeles, 1982;Abeles et al, 1994;Fujii et al, 1996 for extensive review), while the former is somewhat novel. In Section 4.3 we use the WilsonCowan model to illustrate how the theory can be applied to quasiperiodic (multi-frequency) oscillators.…”

Section: Major Resultsmentioning

confidence: 98%

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Thalamo-cortical interactions modeled by weakly connected oscillators: could the brain use FM radio principles?

1998

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We consider all models of the thalamo-cortical system that satisfy the following two assumptions: (1) each cortical column is an autonomous oscillator; (2) connections between cortical columns and the thalamus are weak. Our goal is to deduce from these assumptions general principles of thalamo-cortical interactions that are independent of the equations describing the system. We find that the existence of synaptic connections between any two cortical columns does not guarantee that the columns interact: They interact only when there is a certain nearly resonant relation between their frequencies, which implies that the interactions are frequency modulated (FM). When the resonance relation holds, the cortical columns interact through phase modulations. Thus, communications between weakly connected cortical oscillators employ a principle similar to that in FM radio: The frequency of oscillation encodes the channel of communication, while the information is transmitted via phase modulations. If the thalamic input has an appropriate frequency, then it can dynamically link any two cortical columns, even those that have non-resonant frequencies and would otherwise be unlinked. Thus, by adjusting its temporal activity, the thalamus has control over information processing taking place in the cortex. Our results suggest that the mean firing rate (frequency) of periodically spiking neuron does not carry any information other than identifying a channel of communication. Information (i.e. neural code) is carried through modulations of interspike intervals.

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Section: Discussionmentioning

confidence: 84%

Section: Major Resultsmentioning

confidence: 98%

Thalamo-cortical interactions modeled by weakly connected oscillators: could the brain use FM radio principles?

1998

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“…In recent years, synchronous activity on a millisecond time scale has been postulated to contribute to higherlevel functions including perceptual grouping (Gray 1999; (HerculanoHouzel et al 1999). In each of these contexts, it has been argued that temporally correlated activity should be highly dynamic to provide representational flexibility (Engel et al 2001;Fries 2005;Fujii et al 1996;Gerstein et al 1989;Gray 1999;Gruen et al 2003;Samonds et al 2006;Singer 1994; Von der Malsburg 1981).…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, synchronous activity on a millisecond time scale has been postulated to contribute to higherlevel functions including perceptual grouping (Gray 1999;Singer and Gray 1995), attentional selection Steinmetz et al 2000;Womelsdorf et al 2006), expectancy (Riehle et al 1997), working memory (Buschman and Miller 2007;Sakurai 1993;Vaadia et al 1995), motor control (Hatsopoulos et al 2003), and behavioral arousal (HerculanoHouzel et al 1999). In each of these contexts, it has been argued that temporally correlated activity should be highly dynamic to provide representational flexibility (Engel et al 2001;Fries 2005;Fujii et al 1996;Gerstein et al 1989;Gray 1999;Gruen et al 2003;Samonds et al 2006;Singer 1994;Von der Malsburg 1981).…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Stimulus-Evoked Spike Timing Correlations in the Cat Lateral Geniculate Nucleus

Ito

Maldonado

Gray

2010

Journal of Neurophysiology

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Precisely synchronized neuronal activity has been commonly observed in the mammalian visual pathway. Spike timing correlations in the lateral geniculate nucleus (LGN) often take the form of phase synchronized oscillations in the high gamma frequency range. To study the relations between oscillatory activity, synchrony, and their time-dependent properties, we recorded activity from multiple single units in the cat LGN under stimulation by stationary spots of light. Autocorrelation analysis showed that approximately one third of the cells exhibited oscillatory firing with a mean frequency ϳ80 Hz. Cross-correlation analysis showed that 30% of unit pairs showed significant synchronization, and 61% of these pairs consisted of synchronous oscillations. Crosscorrelation analysis assumes that synchronous firing is stationary and maintained throughout the period of stimulation. We tested this assumption by applying unitary events analysis (UEA). We found that UEA was more sensitive to weak and transient synchrony than cross-correlation analysis and detected a higher incidence (49% of cell pairs) of significant synchrony (unitary events). In many unit pairs, the unitary events were optimally characterized at a bin width of 1 ms, indicating that neural synchrony has a high degree of temporal precision. We also found that approximately one half of the unit pairs showed nonstationary changes in synchrony that could not be predicted by the modulation of firing rates. Population statistics showed that the onset of synchrony between LGN cells occurred significantly later than that observed between retinal afferents and LGN cells. The synchrony detected among unit pairs recorded on separate tetrodes tended to be more transient and have a later onset than that observed between adjacent units. These findings show that stimulus-evoked synchronous activity within the LGN is often rhythmic, highly nonstationary, and modulated by endogenous processes that are not tightly correlated with firing rate. I N T R O D U C T I O NSynchronous activity is a widespread and robust property of neuronal networks in a wide variety of species (Buzsáki 2006;Laurent et al. 2001;Singer and Gray 1995;Usrey and Reid 1999). Its functional significance has long been recognized within the context of synaptic physiology, where it plays a critical role in synaptic integration and plasticity (Alonso et al. 1996;Azouz and Gray 2003;Toyama et al. 1981;Usrey and Reid 1999). In recent years, synchronous activity on a millisecond time scale has been postulated to contribute to higherlevel functions including perceptual grouping (Gray 1999; (HerculanoHouzel et al. 1999). In each of these contexts, it has been argued that temporally correlated activity should be highly dynamic to provide representational flexibility (Engel et al. 2001;Fries 2005;Fujii et al. 1996;Gerstein et al. 1989;Gray 1999;Gruen et al. 2003;Samonds et al. 2006;Singer 1994; Von der Malsburg 1981).Such dynamic changes in correlated activity could result from stimulus or task driven influences or b...

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“…Recently, several information coding schemes using synchronized firing of neurons have been proposed 1,2 . Among them, the correlated firing is also regarded as having an important role for the information processing in the brain as a binding mechanism of neural information 1 .…”

Section: Introductionmentioning

confidence: 99%

Synchronized Response to Grayscale Image Inputs in Chaotic Cellular Neural Network

Yamaguchi¹,

Kubo²

2015

JRNAL

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In this study, the synchronized response in the chaotic cellular neural network for a grayscale visual stimulus was investigated in the viewpoint of neural coding. Simple gradation patterns were used as visual stimuli and the synchronized response was analyzed by the correlation of the spike firing times. As a result, synchronized responses were observed for the neurons that had similar input values and formed chaotic cell assemblies. Each assembly was distinguished from the others in terms of cross-correlation.

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Dynamical Cell Assembly Hypothesis — Theoretical Possibility of Spatio-temporal Coding in the Cortex

Cited by 228 publications

References 104 publications

Thalamo-cortical interactions modeled by weakly connected oscillators: could the brain use FM radio principles?

Thalamo-cortical interactions modeled by weakly connected oscillators: could the brain use FM radio principles?

Dynamics of Stimulus-Evoked Spike Timing Correlations in the Cat Lateral Geniculate Nucleus

Synchronized Response to Grayscale Image Inputs in Chaotic Cellular Neural Network

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