Computational Brain & Behavior, Journal Year: 2025, Volume and Issue: unknown
Published: April 4, 2025
Language: Английский
Frontiers in Computational Neuroscience, Journal Year: 2025, Volume and Issue: 19
Published: Feb. 18, 2025
Time is essential for understanding the brain. A temporal theory realizing major brain functions (e.g., sensation, cognition, motivation, attention, memory, learning, and motor action) proposed that uses codes, time-domain neural networks, correlation-based binding processes signal dynamics. It adopts a signal-centric perspective in which assemblies produce circulating propagating characteristic temporally patterned signals each attribute (feature). Temporal precision coding processing. The spike patterns constitute enable general-purpose, multimodal, multidimensional vectorial representations of objects, events, situations, procedures. Signals are broadcast interact with other spreading activation time-delay networks to mutually reinforce, compete, create new composite patterns. Sequences events directly encoded relative timings event onsets. New created through nonlinear multiplicative thresholding interactions, such as mixing operations found radio communications systems wave interference newly then become markers bindings specific combinations attributes perceptual symbols, semantic pointers, tags cognitive nodes). Correlation both bottom-up productions top-down recovery constituent signals. Memory operates using same principles: nonlocal, distributed, coded memory traces, interactions amplifications, content-addressable access retrieval. short-term temporary store based on reverberatory, spike-timing-facilitated circuits. long-term synaptic modifications resonances select delay-paths Holographic principles nonlocal representation, storage, retrieval can be applied well spatial These automatically generate pattern recognition (wavefront reconstruction) capabilities, ranging from objects concepts, distributed associative applications. evolution implementations holograph-like processing mechanisms discussed. correlations, convolutions, simple linear operations, patterns, oscillatory interactions. preserve high resolution temporal, phase, amplitude information. establishing phase coherency determining relationships, binding/coupling, synchronization, operations. Interacting waves sum constructively amplification, or destructively, suppression, partially. precision, phase-locking, phase-dependent coding, phase-coherence, synchrony discussed within context mixed oscillations compared cascade sequential stages single-sideband carrier suppressed (SSBCS) system model. This mechanism suggests manner by multiple oscillation bands could emergent information-bearing bands, abolish previously generated bands. hypothetical example illustrates how succession different carriers (gamma, beta, alpha, theta, delta) communicate propagate (broadcast) information sequentially hierarchy speech language stages. Based standard principles, stage emergently generates next. sequence model consistent neurophysiological observations. corresponds speech-language (sound/speech detection, acoustic-phonetics, phone/clusters, syllables, words/phrases, word sequences/sentences, concepts/understanding). SSBCS makes predictions band frequencies empirically tested. postulated here may apply broadly local global across cortex. serve many functions, e.g., regulate flow interaction bottom-up, gamma-mediated top-down, beta-mediated signals, cross-frequency coupling. Some guidelines offered general might Neural need sampled analyzed resolution, without destructive windowing filtering. Our intent suggest what we think possible, widen scope experimental inquiry into mechanisms, behaviors.
Language: Английский
Citations
1
Perspectives on Behavior Science, Journal Year: 2025, Volume and Issue: unknown
Published: April 2, 2025
Language: Английский
Citations
1
Computational Brain & Behavior, Journal Year: 2025, Volume and Issue: unknown
Published: April 4, 2025
Language: Английский
Citations
0