Attention to memory content enhances single-unit spike sequence fidelity in the human anterior temporal lobe

Current Biology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences

Frontiers in Computational Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Фев. 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.

Язык: Английский

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Predictive coding: a more cognitive process than we thought?

Trends in Cognitive Sciences, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Brain state model: A novel method to represent the rhythmicity of object-specific selective attention from magnetoencephalography data

Neurocomputing, Год журнала: 2025, Номер unknown, С. 129920 - 129920

Опубликована: Март 1, 2025

Язык: Английский

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Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable

Cell Reports, Год журнала: 2025, Номер 44(4), С. 115547 - 115547

Опубликована: Апрель 1, 2025

Neural firing-rate responses to sensory stimuli show progressive changes both within and across sessions, raising the question of how brain maintains a stable code. One possibility is that other features multi-neuron spiking patterns, e.g., temporal structure, provide coding mechanism. Here, we compared spike-rate spike-timing codes in neural ensembles from six visual areas during natural video presentations. To quantify information spike sequences, used SpikeShip, method based on optimal transport theory considers relative relations among all neurons. For large numbers active neurons, sequences conveyed more than population vectors. Firing-rate vectors exhibited substantial drift repetitions between blocks, contrast which were over time. These findings reveal code high-dimensional ensembles.

Язык: Английский

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Protosequences in human cortical organoids model intrinsic states in the developing cortex

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Дек. 30, 2023

Neuronal firing sequences are thought to be the basic building blocks of neural coding and information broadcasting within brain. However, when emerge during neurodevelopment remains unknown. We demonstrate that structured present in spontaneous activity human brain organoids

Язык: Английский

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Sequential and dynamic coding of water-sucrose categorization in rat gustatory cortices

iScience, Год журнала: 2024, Номер 27(12), С. 111287 - 111287

Опубликована: Окт. 31, 2024

Язык: Английский

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