Adaptive planning depth in human problem-solving DOI Creative Commons
Mattia Eluchans, Gian Luca Lancia, Antonella Maselli

и другие.

Royal Society Open Science, Год журнала: 2025, Номер 12(4)

Опубликована: Апрель 1, 2025

We humans are capable of solving challenging planning problems, but the range adaptive strategies that we use to address them is not yet fully characterized. Here, designed a series problem-solving tasks require at different depths. After systematically comparing performance participants and models, found when facing problems certain number subgoals (from 1 8), make an their cognitive resources—namely, they tend select initial plan having minimum required depth, rather than selecting same depth for all problems. These results support view as bounded rational process, which adapts costly resources task demands.

Язык: Английский

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world DOI Creative Commons
Brett J. Kagan,

Andy C. Kitchen,

Nhi T. Tran

и другие.

Neuron, Год журнала: 2022, Номер 110(23), С. 3952 - 3969.e8

Опубликована: Окт. 12, 2022

Integrating neurons into digital systems may enable performance infeasible with silicon alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive computation of in structured environment. In vitro neural networks from human or rodent origins are integrated silico computing via high-density multielectrode array. Through electrophysiological stimulation and recording, cultures embedded simulated game-world, mimicking arcade game "Pong." Applying implications theory active inference free energy principle, find apparent learning within five minutes real-time gameplay not observed control conditions. Further experiments demonstrate importance closed-loop feedback eliciting over time. Cultures display ability to self-organize activity goal-directed manner response sparse sensory information about consequences their actions, which term synthetic biological intelligence. Future applications provide further insights cellular correlates

Язык: Английский

Процитировано

210
Replay and compositional computation DOI Creative Commons
Zeb Kurth‐Nelson, Timothy E.J. Behrens,

Greg Wayne

и другие.

Neuron, Год журнала: 2023, Номер 111(4), С. 454 - 469

Опубликована: Янв. 13, 2023

Язык: Английский

Процитировано

60
From task structures to world models: what do LLMs know? DOI
Ilker Yildirim, L. A. Paul

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(5), С. 404 - 415

Опубликована: Март 4, 2024

Язык: Английский

Процитировано

28
Neural learning rules for generating flexible predictions and computing the successor representation DOI Creative Commons
Ching Fang, Dmitriy Aronov,

LF Abbott

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Март 16, 2023

The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by reinforcement learning literature, this notion has been formalized as a map called successor representation (SR). SR captures number observations about hippocampal activity. However, algorithm does not provide neural mechanism how such representations arise. Here, we show dynamics recurrent network naturally calculate when synaptic weights match transition probability matrix. Interestingly, horizon can flexibly modulated simply changing gain. We derive simple, biologically plausible rules learn in network. test our model with realistic inputs and data recorded during random foraging. Taken together, results suggest that more accessible circuits than previously support broad range functions.

Язык: Английский

Процитировано

41
Expertise increases planning depth in human gameplay DOI
Bas van Opheusden,

Ionatan Kuperwajs,

Gianni Galbiati

и другие.

Nature, Год журнала: 2023, Номер 618(7967), С. 1000 - 1005

Опубликована: Май 31, 2023

Язык: Английский

Процитировано

38
A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies DOI Creative Commons

Alexander T. Lai,

German Espinosa,

Gabrielle E. Wink

и другие.

Cell Reports, Год журнала: 2024, Номер 43(2), С. 113671 - 113671

Опубликована: Янв. 26, 2024

Outside of the laboratory, animals behave in spaces where they can transition between open areas and coverage as interact with others. Replicating these conditions laboratory be difficult to control record. This has led a dominance relatively simple, static behavioral paradigms that reduce ethological relevance behaviors may alter engagement cognitive processes such planning decision-making. Therefore, we developed method for controllable, repeatable interactions others reconfigurable space. Mice navigate large honeycomb lattice adjustable obstacles an autonomous robot coupled their actions. We illustrate system using pseudo-predator, delivering airpuffs mice. The combination mobile threat elicits diverse set behaviors, increased path diversity, peeking, baiting, providing explore ethologically relevant laboratory.

Язык: Английский

Процитировано

12
A recurrent network model of planning explains hippocampal replay and human behavior DOI Creative Commons
Kristopher T. Jensen, Guillaume Hennequin, Marcelo G. Mattar

и другие.

Nature Neuroscience, Год журнала: 2024, Номер 27(7), С. 1340 - 1348

Опубликована: Июнь 7, 2024

When faced with a novel situation, people often spend substantial periods of time contemplating possible futures. For such planning to be rational, the benefits behavior must compensate for spent thinking. Here, we capture these features by developing neural network model where itself is controlled prefrontal cortex. This consists meta-reinforcement learning agent augmented ability plan sampling imagined action sequences from its own policy, which call 'rollouts'. In spatial navigation task, learns when it beneficial, provides normative explanation empirical variability in human thinking times. Additionally, patterns policy rollouts used artificial closely resemble rodent hippocampal replays. Our work theory how brain could implement through prefrontal-hippocampal interactions, replays are triggered by-and adaptively affect-prefrontal dynamics.

Язык: Английский

Процитировано

10
The Chimpanzee Brainnetome Atlas reveals distinct connectivity and gene expression profiles relative to humans DOI Creative Commons
Yufan Wang, Luqi Cheng, Deying Li

и другие.

The Innovation, Год журнала: 2025, Номер 6(2), С. 100755 - 100755

Опубликована: Янв. 6, 2025

Chimpanzees (Pan troglodytes) are one of humans' closest living relatives, making them the most directly relevant comparison point for understanding human brain evolution. Zeroing in on differences connectivity between humans and chimpanzees can provide key insights into specific evolutionary changes that might have occurred along lineage. However, such comparisons hindered by absence cross-species atlases established within same framework. To address this gap, we developed Chimpanzee Brainnetome Atlas (ChimpBNA) using a connectivity-based parcellation Leveraging new resource, found substantial divergence patterns two species across association cortices, notably lateral temporal dorsolateral prefrontal cortex. These deviate sharply from pattern cortical expansion observed when comparing to chimpanzees, highlighting more complex nuanced evolution than previously recognized. Additionally, identified regions displaying connectional asymmetries differed species, likely resulting divergence. Genes highly expressed divergent connectivities were enriched cell types crucial projection circuits synapse formation, whose pronounced expression hint at genetic influences neural circuit development, function, Our study provides fine-scale chimpanzee atlas highlights chimpanzee-human rigorous comparative manner. In addition, these results suggest potential gene correlates species-specific linking neuroimaging data, offering human-unique cognitive capabilities.

Язык: Английский

Процитировано

2
Goals, usefulness and abstraction in value-based choice DOI Creative Commons
Benedetto De Martino, Aurelio Cortese

Trends in Cognitive Sciences, Год журнала: 2022, Номер 27(1), С. 65 - 80

Опубликована: Ноя. 26, 2022

Colombian drug lord Pablo Escobar, while on the run, purportedly burned two million dollars in banknotes to keep his daughter warm. A stark reminder that, life, circumstances and goals can quickly change, forcing us reassess modify our values on-the-fly. Studies decision-making neuroeconomics have often implicitly equated value reward, emphasising hedonic automatic aspect of computation, overlooking its functional (concept-like) nature. Here we outline computational biological principles that enable brain compute usefulness an option or action by creating abstractions flexibly adapt changing goals. We present different algorithmic architectures, comparing ideas from artificial intelligence (AI) cognitive neuroscience with psychological theories and, when possible, drawing parallels.

Язык: Английский

Процитировано

32
Computational models of episodic-like memory in food-caching birds DOI Creative Commons
Johanni Brea, Nicola S. Clayton, Wulfram Gerstner

и другие.

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Май 23, 2023

Abstract Birds of the crow family adapt food-caching strategies to anticipated needs at time cache recovery and rely on memory what, where when previous caching events recover their hidden food. It is unclear if this behavior can be explained by simple associative learning or it relies higher cognitive processes like mental time-travel. We present a computational model propose neural implementation behavior. The has hunger variables for motivational control, reward-modulated update retrieval policies an network remembering with consolidation mechanism flexible decoding age memory. Our methodology formalizing experimental protocols transferable other domains facilitates evaluation experiment design. Here, we show that memory-augmented, reinforcement without time-travel sufficient explain results 28 behavioral experiments birds.

Язык: Английский

Процитировано

23