The Phenomenal Is Functional: A Unified Theory of Consciousness and Computation DOI Creative Commons
Michael Timothy Bennett,

Sean Welsh

Опубликована: Дек. 2, 2023

<p><strong>Please note this is a draft on which we are seeking feedback. Substantial changes and third author likely be added to the next version.</strong></p> <p><br></p> <p>The hard problem of consciousness asks why there something it like conscious organism. We address from 1st principles, by constructing formalism that unifies lower higher order theories consciousness. assume pancomputationalism hold environment learns organisms exhibit fit behaviour via algorithm call natural selection. Selection learn classify causes, facilitating adaptation. Recent experimental mathematical computer science elucidates how. Scaling capacity implies progressively ``causal identity'' reafference P-consciousness, then self awareness A-consciousness, meta awareness. use resolve in precise terms. First, deny philosophical zombie all circumstances as capable P-conscious being. This because variable presupposes an object value assigned. Whether X causes Y depends choice X, so causality learned learning such Y, not presupposing if (presupposing rather than inferring abstractions can reduce sample efficiency learning). However, discriminatory process requires states differentiated value. Without objects, variables or values, only quality. By mean organism attracted repulsed physical state. Learning reduces quality into objects policies classifying cause affect (``representations'' just triggered phenomenal content). Where selection pressures require its own interventions, policy (a ``1st causal identity'') has persists across Thus have P-consciousness allows them adapt with greater efficiency, infer affect. argue neither P nor A-consciousness alone remarkable, but when gives rise obtain ``H-consciousness'' (what Boltuc argues crux problem). occurs <em>o</em> <em>u</em>'s prediction <em>o</em>'s interventions ``2nd approximating intent). contents 2nd identities, predicting another's one's identities becomes possible know what one knows feels, act upon information communicate meaning Gricean sense. two aspects H-concsiousness, acting accord hierarchy simplify classifiers psychophysical principle causality.</p>

Язык: Английский

Can Molecular Systems Learn? DOI Open Access
Kübra Kaygisiz, Rein V. Ulijn

ChemSystemsChem, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Abstract Research across various disciplines shows the benefits of learning and memory for gaining functionality improving performance. It is increasingly clear that can be found in both physical virtual systems, from intelligent life forms to machines, simple organisms, even designed chemical systems. We are interested understanding what extent embodiments these processes synthesized engineered bottom up by using molecular components. In this perspective, we raise attempt answer conceptual questions about supramolecular systems as smallest units capable learning. define a process where complex system interacting components modifies itself response an applied stress or stimulus, resulting structural changes information gain. highlight potential chemistry networks design meet definition encoding, decoding, storing within system′s composition. Understanding basis could inform development materials autonomously acquire new properties their environment. This also provide insights next‐generation computing physical, rather than virtual,

Язык: Английский

Процитировано

2
Bio-inspired multimodal learning with organic neuromorphic electronics for behavioral conditioning in robotics DOI Creative Commons
Imke Krauhausen, Sophie Griggs, Iain McCulloch

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июнь 4, 2024

Abstract Biological systems interact directly with the environment and learn by receiving multimodal feedback via sensory stimuli that shape formation of internal neuronal representations. Drawing inspiration from biological concepts such as exploration processing eventually lead to behavioral conditioning, we present a robotic system handling objects through learning. A small-scale organic neuromorphic circuit locally integrates adaptively processes stimuli, enabling robot intelligently its surroundings. The real-time low-voltage devices synaptic functionality forms associative connections thus learns avoid potentially dangerous objects. This work demonstrates adaptive neuro-inspired circuitry multifunctional materials, can accommodate efficient bio-inspired learning for advancing intelligent robotics.

Язык: Английский

Процитировано

7
A new approach for estimating effective connectivity from activity in neural networks DOI Creative Commons

Niklas Laasch,

Wilhelm Braun,

Lisa Knoff

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 6, 2024

Abstract Inferring and understanding the underlying connectivity structure of a system solely from observed activity its constituent components is challenge in many areas science. In neuroscience, techniques for estimating are paramount when attempting to understand network neural systems their recorded patterns. To date, no universally accepted method exists inference effective connectivity, which describes how node mechanistically affects other nodes. Here, focussing on purely excitatory networks small intermediate size continuous dynamics, we provide systematic comparison different approaches connectivity. Starting with Hopf neuron model conjunction known ground truth structural reconstruct system’s matrix using variety algorithms. We show that, sparse non-linear delays, combining lagged-cross-correlation (LCC) approach recently published derivative-based covariance analysis provides most reliable estimation matrix. also that linear networks, LCC has comparable performance based transfer entropy, at drastically lower computational cost. highlight works best decreases larger less networks. Applying dynamics without time find it does not outperform methods. Employing model, then use estimated as basis forward simulation order recreate under certain conditions, method, LCC, results higher trace-to-trace correlations than methods noise-driven systems. Finally, apply empirical biological data. subset nervous nematode C. Elegans . computationally simple performs better another published, more expensive reservoir computing-based method. Our comparatively can be used reliably estimate directed presence spatio-temporal delays noise. concrete suggestions scenario common research, where only neuronal set neurons known.

Язык: Английский

Процитировано

6
Social complexity affects cognitive abilities but not brain structure in a Poeciliid fish DOI Creative Commons
Zegni Triki,

Tunhe Zhou,

Elli Argyriou

и другие.

Behavioral Ecology, Год журнала: 2024, Номер 35(3)

Опубликована: Апрель 1, 2024

Some cognitive abilities are suggested to be the result of a complex social life, allowing individuals achieve higher fitness through advanced strategies. However, most evidence is correlative. Here, we provide an experimental investigation how group size and composition affect brain development in guppy (

Язык: Английский

Процитировано

5
Evolutionary origin of the nervous system from Ctenophora prospective DOI Creative Commons
Maria Y. Sachkova

Evolution & Development, Год журнала: 2024, Номер 26(4)

Опубликована: Фев. 23, 2024

Abstract Nervous system is one of the key adaptations underlying evolutionary success majority animal groups. Ctenophores (or comb jellies) are gelatinous marine invertebrates that were probably first lineage to diverge from rest animals. Due phylogenetic position and multiple unique adaptations, noncentralized nervous jellies has been in center debate around origin kingdom whether it happened only once or twice. Here, we discuss latest findings ctenophore neuroscience challenges on way build a clear picture system.

Язык: Английский

Процитировано

4
Uncertainty and anxiety: Evolution and neurobiology DOI
D. Caroline Blanchard, Newton S. Canteras

Neuroscience & Biobehavioral Reviews, Год журнала: 2024, Номер 162, С. 105732 - 105732

Опубликована: Май 24, 2024

Язык: Английский

Процитировано

4
Affective foundations in AI-human interactions: Insights from evolutionary continuity and interspecies communications DOI

Chong-Yi Liu,

Bin Yin

Computers in Human Behavior, Год журнала: 2024, Номер 161, С. 108406 - 108406

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

4
Executive functions and brain morphology of male and female dominant and subordinate cichlid fish DOI
Angelo Guadagno, Zegni Triki

Brain and Behavior, Год журнала: 2024, Номер 14(5)

Опубликована: Апрель 29, 2024

Abstract Background Living in a social dominance hierarchy presents different benefits and challenges for dominant subordinate males females, which might turn affect their cognitive needs. Despite the extensive research on group‐living species, there is still knowledge gap regarding how status impacts brain morphology abilities. Methods Here, we tested male female dominants subordinates of Neolamprologus pulcher , cichlid fish species with size‐based hierarchy. We ran three executive function tests flexibility (reversal learning test), self‐control (detour working memory (object permanence followed by region size measurements. Results Performance was not influenced or sex. However, exhibited brain–body slope that relatively steeper than subordinates. Furthermore, individual performance reversal detour correlated morphology, some trade‐offs among major regions like telencephalon, cerebellum, optic tectum. Conclusion As individuals’ growth strategies varied depending without affecting functions, associated yield potential effect cognition instead. Overall, findings highlight importance studying just to understand better individual's ecology shape its cognition.

Язык: Английский

Процитировано

3
Walking coral: Complex phototactic mobility in the free-living coral Cycloseris cyclolites DOI Creative Commons
Brett M. Lewis,

David J. Suggett,

Peter J. Prentis

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0315623 - e0315623

Опубликована: Янв. 22, 2025

Not all corals are attached to the substrate; some taxa solitary and free-living, allowing them migrate into preferred habitats. However, lifestyle of these mobile corals, including how they move navigate for migration, remains largely obscure. This study investigates specific biomechanics Cycloseris cyclolites , a free-living coral species, during phototactic behaviour in response blue white light stimuli. Our results indicate strong positive with 86.7% (n = 15) samples moving towards source, while only 20% responded similarly (400–700 nm). Locomotion, characterised by periodic pulses lasting 1–2 hours, involved distances up 220 mm trials, whereas significantly shorter were observed trials (2, 5 8 mm). Trails two sources reinforced preference over white, consistently away from (11, 15 3mm). High-resolution time-laps captured forward motion that appeared driven three key factors: tissue inflation, which increased contact surface area lift friction; ventral foot/pads, adjusting substrate interaction/friction; contraction twisting lateral peripheral tissues, propelled coordinated manner resembling pulsed swimming jellyfish. findings provide new insights mobility mechanisms, emphasising role inflation active locomotion, potential implications neural systems, vision habitat selection.

Язык: Английский

Процитировано

0
Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks DOI Creative Commons

Niklas Laasch,

Wilhelm Braun,

Lisa Knoff

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 13, 2025

Язык: Английский

Процитировано

0