Editorial: Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception

Gupta, Daya S.; Bahmer, Andreas

doi:10.3389/fncom.2021.729296

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Temporal coupling of associated networks, especially via phase-locking, is widely observed across the brain and nervous system ( Gupta and Bahmer, 2021 ). It is a critical mechanism for initiating and coordinating spatio-temporal coding, event detection, state changes, resetting voltage, and synchronization.…”

Section: Toward An Integrated Systems View Of Brain Functionmentioning

confidence: 99%

Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures

Cariani

Baker

2022

Front. Comput. Neurosci.

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Time is of the essence in how neural codes, synchronies, and oscillations might function in encoding, representation, transmission, integration, storage, and retrieval of information in brains. This Hypothesis and Theory article examines observed and possible relations between codes, synchronies, oscillations, and types of neural networks they require. Toward reverse-engineering informational functions in brains, prospective, alternative neural architectures incorporating principles from radio modulation and demodulation, active reverberant circuits, distributed content-addressable memory, signal-signal time-domain correlation and convolution operations, spike-correlation-based holography, and self-organizing, autoencoding anticipatory systems are outlined. Synchronies and oscillations are thought to subserve many possible functions: sensation, perception, action, cognition, motivation, affect, memory, attention, anticipation, and imagination. These include direct involvement in coding attributes of events and objects through phase-locking as well as characteristic patterns of spike latency and oscillatory response. They are thought to be involved in segmentation and binding, working memory, attention, gating and routing of signals, temporal reset mechanisms, inter-regional coordination, time discretization, time-warping transformations, and support for temporal wave-interference based operations. A high level, partial taxonomy of neural codes consists of channel, temporal pattern, and spike latency codes. The functional roles of synchronies and oscillations in candidate neural codes, including oscillatory phase-offset codes, are outlined. Various forms of multiplexing neural signals are considered: time-division, frequency-division, code-division, oscillatory-phase, synchronized channels, oscillatory hierarchies, polychronous ensembles. An expandable, annotative neural spike train framework for encoding low- and high-level attributes of events and objects is proposed. Coding schemes require appropriate neural architectures for their interpretation. Time-delay, oscillatory, wave-interference, synfire chain, polychronous, and neural timing networks are discussed. Some novel concepts for formulating an alternative, more time-centric theory of brain function are discussed. As in radio communication systems, brains can be regarded as networks of dynamic, adaptive transceivers that broadcast and selectively receive multiplexed temporally-patterned pulse signals. These signals enable complex signal interactions that select, reinforce, and bind common subpatterns and create emergent lower dimensional signals that propagate through spreading activation interference networks. If memory traces share the same kind of temporal pattern forms as do active neuronal representations, then distributed, holograph-like content-addressable memories are made possible via temporal pattern resonances.

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Section: Toward An Integrated Systems View Of Brain Functionmentioning

confidence: 99%

Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures

Cariani

Baker

2022

Front. Comput. Neurosci.

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“…In the case of the brain, the activities of the cortex resulting from the sensory inputs and motor activities constitute the information source. Sensory inputs and motor actions, stemming from the interaction of the brain with external stimuli, encode messages in the brain's activity patterns that are decoded by the temporal coupling of neuronal spikes of the brain [i.e., the association between neural activities, reflecting increased mutual information (Gupta and Bahmer, 2021 )] due to the demands of a task (Gupta and Bahmer, 2019 ). Temporal coupling reduces average uncertainty in the message, which results in the “knowledge,” underlying voluntary motor control and perception.…”

mentioning

confidence: 99%

Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II

Gupta,

Banerjee,

Piras

et al. 2023

Front. Comput. Neurosci.

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“…Movements also reduce the entropy (a measure of surprise) in the patterns of the neuronal activities in the brain that will increase knowledge, forming the basis of voluntary control and perception (Gupta and Bahmer, 2019 ). In desynchronized states of the brain, which promote information processing (Petersen, 2019 ), the temporal coupling of neuronal events will occur as a result of the interactions with the physical world (Gupta et al, 2020 ; Gupta and Bahmer, 2021 ). Transferring the temporal relationship between external physical events, namely sensory stimuli and movements during an interaction, separated by zero to hundreds of milliseconds, to a corresponding temporal relationship between the neural events triggered by those external physical events requires an accurate representation of the time axis in the brain.…”

mentioning

confidence: 99%