Corticonics: Neural Circuits of Cerebral Cortex

By Moshe Abeles. 1991

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Citations in the corpus

Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, background): “For example, the number of synapses per cortical volume is remarkably similar across different species [112], and theoretical considerations suggest that the energy consumption of the brain is dominated by the number of postsynaptic potentials or, equivalently, the number of functional non-silent sy”
Structured Connectivity in Cerebellar Inhibitory Networks (2014, background): “The ‘‘synaptic chain model’’ is an example of such a transitive network architecture containing feedforward motifs and is known to generate highly structured temporal dynamics (Abeles, 1991; Seung, 2009).”
Cortical plasticity: from synapses to maps. (1998, background): “Numerous papers have examined cortical architecture and information flow through the cortex in detail (for reviews, see Mountcastle 1979, White 1989, Abeles 1991, Van Essen et al 1992).”
Neuronal circuits underlying persistent representations despite time varying activity. (2012, background): “Since the number of cortical neurons greatly exceeds the number of thalamic neurons projecting to them [24–26], cortical representation is almost certainly redundant.”
Neural syntax: cell assemblies, synapsembles and readers (2010, unknown): “Hebb’s cell assembly is essentially a graph of synaptically interconnected excitatory neurons (Abeles, 1991; Hopfield and Tank, 1986; Palm, 1982, 1987; Wennekers et al., 2003).”
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus (1999, background): “…temporal coincidence coding (von der Malsburg and Bienenstock, 1986; Singer, 1993), temporal delay of spikes (O’Keefe and Recce, 1993; Buzsáki and Chrobak, 1995; Hopfield, 1995; Lisman and Idiart, 1995; Skaggs et al., 1996), and spatiotemporal spike sequence coding (Buzsáki, 1989; Abeles, 1991).”
Networks of Spiking Neurons: The Third Generation of Neural Network Models (1996, background): “With regard to the relationship of these mathematical models to the known behaviour of biological neurons we refer to [1], [3], [4], [8], [9], [20], [24], [56], [57], and [63].”
Copying and Evolution of Neuronal Topology (2008, background): “At least 60,000 parallel chains would be required to ensure at least one remains intact after 20 years (p210) [49].”
Resonate-and-fire neurons (2001, background): “This emphasizes the importance of the spike timing code as opposed to the mean ®ring rate code (Abeles, 1991).”
The Theory of Event Coding (TEC): a framework for perception and action planning. (2001, background): “For the visual domain, several authors have suggested that feature binding is achieved by temporally coupling or synchronizing the activation of feature codes (for overviews see Abeles 1991; Singer 1994; Treisman 1996). Whatever the details of this mechanism may be, an increasing number of studies p”
Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons (2006, unknown): “, 2004) as well as in vivo (Abeles, 1991; Tsodyks et al., 1999; Buzsaki et al., 2004) indicate that the sequence of neuronal activation within a synchronization event is nonrandom and strongly constrained by the pattern of population activity.”
On the Computational Power of Winner-Take-All (2000, background): “…exists a notable difference between the computational role of weights of different signs in artiﬁcial neural net-workmodelsononehand,andanatomicalandphysiologicaldataregarding theinterplayofexcitatoryandinhibitoryneuralinputsinbiologicalneural systemsontheotherhand(seeAbeles,1991,andShepherd,1998).”
Neural representations and mechanisms for the performance of simple speech sequences (2010, unknown): “Un co rre cte d Pr oo f stereotyped, however, readout by serial or “synfire” chains (e.g., Pulvermüller, 1999, 2002; Abeles, 1991) can offer greater efficiency.”
Appraising the brain's energy budget (2002, background): “This focus would seem reasonable, considering that greater than 80% of neurons are excitatory and greater than 90% of synapses release glutamate (6, 7).”