Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
25 years of criticality in neuroscience — established results, open controversies, novel concepts
3 Pith papers cite this work, alongside 125 external citations. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 3representative citing papers
Introduces intrinsic difference from maximal specification to assess cause-effect repertoire availability, establishing a necessary differentiation-specification tradeoff for intrinsic existence in IIT.
Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.
citing papers explorer
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From Chaos to Synchrony in Recurrent Excitatory-Inhibitory Networks with Target-Specific Inhibition
Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
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Intrinsic cause-effect power: the tradeoff between differentiation and specification
Introduces intrinsic difference from maximal specification to assess cause-effect repertoire availability, establishing a necessary differentiation-specification tradeoff for intrinsic existence in IIT.
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Self-Organising Memristive Networks as Physical Learning Systems
Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.