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Compositional pretraining improves computational efficiency and matches animal behaviour on complex tasks

  • Yang, Gr & Wang, X.-J. Artificial nerve networks for neurologists: primer. Nerve cells 1071048-1070 (2020).

    The article of the scientific researcher from Google

  • Krueger, Ka & Dayan, P. Flexible Forming: How to learn in small steps. perception 110380-394 (2009).

    The article of the scientific researcher from Google

  • Narvekar, S. Et al. Learning the curricula for reinforcement learning fields: frame and survey. C. Mach. Learn. Accuracy. 21181 (2020).

    Mathscinet Google Scholar

  • Bengio, Y., Louradour, J., Colobert, R. & Weston, J. Learning Curriculum. in Brook. 26 annually. Methodology Conference 41-48 (Computing Machines Association, 2009).

  • Finn, C., Abbeel, P. & Levine, S. Model-Agnostic Meta Leachning For Fast Texpative of Deep Networks. in int. Methodology Conference1126-1135 (PMLR, 2017).

  • Thrun, S. & Pratt, L. In Learning learning (Eds Thrun, S. & Pratt, L.) 3-17 (Springer, 1998).

  • Harlo, HF Forming Learning Communities. Psychol. pastor 5651-65 (1949).

    The article of the scientific researcher from Google

  • Skinner, b. Sci. I am. 18526-29 (1951).

    The article of the scientific researcher from Google

  • SAVIN, C. & Triesch, J. The appearance of task -dependent representations in the working memory circles. before. account. Neurosci. 857 (2014).

    The article of the scientific researcher from Google

  • MCANDREW, R. & Helms Tillery, Si Laboratory Cripates: their lives in and after the search. Temperature https://doi.org/10.1080/23328940.2016.1229161 (2016).

  • Chowdhury, SA & Deangelis, GC Training on Displacing the fine changes the causal contribution of the MT to perceive depth. Nerve cells 60367-377 (2008).

    The article of the scientific researcher from Google

  • ARLT, C. Et al. The cognitive experience changes the cortical participation in the movement directed to the goals. Elife 11E76051 (2022).

    The article of the scientific researcher from Google

  • Wang, JX Meta Learning in natural and artificial intelligence. Curr. Opinion. behavior. Sci. 3890-95 (2021).

    The article of the scientific researcher from Google

  • Vanderschuren, LJ, Achterberg, EM & Trezza, V. Neuroscience for social play and their rewarding value in mice. Neurosci. biobehav. pastor 7086-105 (2016).

    The article of the scientific researcher from Google

  • Vanderschuren, LJ & Trezza, V. What we taught the laboratory mice about social playing behavior: a role in behavioral development and nervous mechanisms. in Childhood biology (Eds Andersen, SL & Pine, DS) 189-212 (Springer, 2014).

  • Baarendse, PJ, Limpens, JH & Vanderschuren, LJ disrupts social development enhances cocaine in mice. Psychology 2311695-1704 (2014).

    The article of the scientific researcher from Google

  • Einon, DF & Morgan, M. A critical period of social isolation in mice. Dave. Psychobiol. J. INT. Suk. Dave. Psychobiol. 10123-132 (1977).

    The article of the scientific researcher from Google

  • Zador, I am a criticism of pure learning and what artificial nerve networks can learn from animal brains. Nat. communication. 103770 (2019).

    The article of the scientific researcher from Google

  • Maah, A., Schiereck, SS, Bossio, V. & CONSTANTINOPLE, supported by distinctive value CM accounts, fast serial decisions. Nat. communication. 147573 (2023).

    The article of the scientific researcher from Google

  • Schiereck, SS et al. Neurological dynamics in the tropical front shell reveals cognitive strategies. Preprint in BIORXIV https://doi.org/10.1101/2024.10.29.620879 (2024).

  • Constantino, SM & DAW, ND Learn the time cost of time on the correction correction mission. The gear. It affects. behavior. Neurosci. 15837-853 (2015).

    The article of the scientific researcher from Google

  • Charnov, optimal feed feed, marginal value theory. theory. Peoples. Biol. 9129-136 (1976).

    The article of the scientific researcher from Google

  • McNamara, JM & Houston, AI Feed and Optimal Learning. J. Theor. Biol. 117231-249 (1985).

    Mathscinet Google Scholar article

  • Wang, JX et al. Gibbian lobe crust as a metapical reinforcement learning system. Nat. Neurosci. 21860-868 (2018).

    The article of the scientific researcher from Google

  • Wilson, RC, Takahashi, YK, Schoenbauum, G. & NIV, Y. Orbitofrontal Cortex as a cognitive map of the mission space. Nerve cells 81267-279 (2014).

    The article of the scientific researcher from Google

  • Schuck, NW, CAI, MB, Wilson, RC & NIV, Y. Human Human orbit Calcular Cortex are a cognitive map of the status space. Nerve cells 911402-1412 (2016).

    The article of the scientific researcher from Google

  • Bartolo, R. & Averbeck, BB inference as a basic behavior. Curr. Opinion. behavior. Sci. 388-13 (2021).

    The article of the scientific researcher from Google

  • Averbeck, B. & O’Doherty, JP learning in the front circles. Nerve pharmaceutical 47147-162 (2022).

    The article of the scientific researcher from Google

  • MIYASHITA, Y. & Chang, HS Neuronal Link to the short -term pictorial memory in the main cortical cortical dandruff. nature 33168-70 (1988).

    The article of the scientific researcher from Google

  • Dubreuil, A., Valente, A., Beiran, M., Mastroguseppe, F. & Ostojic, S. The role of the population structure in accounts through nerve dynamics. Nat. Neurosci. 25783-794 (2022).

    The article of the scientific researcher from Google

  • Khuna, m. Nat. Neurosci priest. 23744-766 (2022).

    The article of the scientific researcher from Google

  • Marschalle, O. & SAVIN, C. Investigation of learning through the lens of changes in the dynamics of the circle. Preprint in BIORXIV https://doi.org/10.1101/2023.09.13.557585 (2023).

  • Sussillo, D. & Barak, O. Opening the Black Box: Low DyD dynamics in frequent high -dimensional nerve networks. Nervous computing. 25626-649 (2013).

    Mathscinet Google Scholar article

  • Elman, JL Learning and Development in Nervous Networks: The importance of small start. perception 4871-99 (1993).

    The article of the scientific researcher from Google

  • Kepple, D., Engelken, R. & Rajan, K. Learning Curiculum Corniculum as a tool to detect the principles of learning in the brain. in int. Learning conference representations (2022).

  • Silver, D. et al. Mastering the game by going with deep nerve networks and searching for trees. nature 529484-489 (2016).

    The article of the scientific researcher from Google

  • Jensen, KT, Hennequin, G. & Mattar, MG Frequent Planning Model Explaining Human Restart and Human Behavior. Nat. Neurosci. 271340-1348 (2024).

  • Braun, Da, Mehring, C. & Wolpet, DM Brucking Learning in Action. behavior. The accuracy of the brain. 206157-165 (2010).

    The article of the scientific researcher from Google

  • Makino, H. Representation of the arithmetic value of the formation of hierarchical behavior. Nat. Neurosci. 26140-149 (2023).

    The article of the scientific researcher from Google

  • Driscoll, LN, Shenoy, K. & Sussillo, D. Complasse Multitsible Multitsbas are used in repeated networks of common dynamic motifs. Nat. Neurosci. 271349-1363 (2024).

    The article of the scientific researcher from Google

  • Gupta, D., DePasquale, B., Kopec, CD & Brody, CD’s experiences in the accumulation of evidence can lead to clear lapses in decision -making. Nat. communication. 15662 (2024).

    The article of the scientific researcher from Google

  • Richards, Ba and others. A deep learning frame for neuroscience. Nat. Neurosci. 221761-1770 (2019).

    The article of the scientific researcher from Google

  • MA, WJ & PEERS, B. The nerve network enters into the laboratory: Towards the use of deep nets as models for human behavior. Preprint at https://arxiv.org/abs/2005.02181 (2020).

  • Goldman, MS Memory without comments in a nervous network. Nerve cells 61621-634 (2009).

    The article of the scientific researcher from Google

  • Maah, A., Schiereck, S., Bossio, V. & Constantinople, C. Distinguished Value Accounts supports fast serial decisions (version V1). Zenudo https://doi.org/10.5281/zenodo.10031483 (2023).

  • HOCKER, D., Constantinople, CM & Savin, C. Simple mathematical tasks capture inductive biases of animals in network models (version V1). Zenudo https://doi.org/10.5281/zenodo.14907819 (2025).

  • HOCKER, D., Constantinople, CM & Savin, C. Savin-Lab-Code/Kind_cl: Nature Machine Intelligence Code (V1.0.0). Zenudo https://doi.org/10.5281/zenodo.14907734 (2025).

  • HOCKER, D., Constantinople, CM & Savin, C. Pretroing Copporcelration improves mathematical efficiency and coincides with animal behavior in complex tasks. Ocean capsule code https://doi.org/10.24433/co.33440797.v1 (2025).

  • Arnold, TB & Emerson, JW Nonparametric Good -f Forts for separate empty distributions. R J. 334-39 (2011).

    The article of the scientific researcher from Google

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    2025-05-19 00:00:00

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