Comparison of computational models of familiarity discrimination in the perirhinal cortex

Cited by (134)

Items 101–134 of 134

1. Computational models can distinguish the contribution from different mechanisms to familiarity recognition
   John Read, Emma Delhaye, Jacques P Sougné · 2023 · Hippocampus
2. Sharpened Visual Memory Representations Are Reflected in Inferotemporal Cortex
   Barnes G.L. Jannuzi, Catrina M. Hacker, Simon Bohn, Travis Meyer, Madison L. Hay, Nicole C. Rust · 2025 · Journal of Neuroscience
3. Binary Willshaw learning yields high synaptic capacity for long-term familiarity memory
   João Sacramento, Andreas Wichert · 2012 · Biological Cybernetics
4. Learning and Memory: Computational Models
   Per Benjamin Sederberg, Kenneth A. Norman · 2010 · Elsevier eBooks
5. Perirhinal Cortex: Neural Representations
   M.W. Brown, Mark A. G. Eldridge · 2009 · Elsevier eBooks
6. Objects in Context. The Neurocognitive Representation, Binding, and Processing of Object and Context Features in Recognition Memory — An Electrophysiological Approach
   Ullrich K. H. Ecker · 2007
7. Computational models of intrinsic motivation for curiosity and creativity
   Sophia Becker, Alireza Modirshanechi, Wulfram Gerstner · 2024 · Behavioral and Brain Sciences
8. Computational models of learning and synaptic plasticity
   Danil Tyulmankov · 2025 · Elsevier eBooks
9. Representational similarity modulates neural and behavioral signatures of novelty
   Sophia Becker, Alireza Modirshanechi, Wulfram Gerstner · 2026 · Neuron
10. Less Is More: How Reduced Activity Reflects Stronger Recognition
    Chantal E. Stern, Michael Erik Hasselmo · 2005 · Neuron
11. Cell-type-specific encoding of prediction and reward in cortical microcircuits during novelty detection
    Abdelrahman Sharafeldin, Hannah Choi · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
12. Perirhinal Cortex: Neural Representations
    Matthew W. Brown, Mark A. G. Eldridge · 2008 · Elsevier eBooks
13. Perirhinal Cortex: Neural Representations ☆
    Malcolm Watson Brown, Mark A. G. Eldridge, Paul James Banks · 2017 · Elsevier eBooks
14. Continual familiarity decoding from recurrent connections in spiking networks
    Viktoria Zemliak, Gordon Pipa, Pascal Nieters · 2025 · PLoS Computational Biology
15. A Neural Network Model of the Recognition of the Familiarity of Number Sequences
    Yakov B. Kazanovich · 2020 · Neuroscience and Behavioral Physiology
16. The Neurobiological Basis of Recognition Memory
    Chantal E. Stern, Michael Erik Hasselmo · 2008 · Elsevier eBooks
17. Spontaneous recognition in rats : synaptic plasticity and neurodevelopmental challenge
    Brittany N. Cazakoff · 2011 · University Library - University of Saskatchewan (University of Saskatchewan)
18. TheDifferentEffectsonRecognitionMemoryofPerirhinal KainateandNMDAGlutamateReceptorAntagonism: ImplicationsforUnderlyingPlasticityMechanisms
    I. Barker, E. CleaWarburton, Nigel P. Dolman, Yves P. Auberson · 2006
19. Computational Modeling of Various Cognitive Functionalities and Domains
    Ron Sun · 2001 · Cambridge University Press eBooks
20. Hippocampal-dependent spatial and episodic memory in humans.
    Iris Trinkler · 2006 · OpenGrey (Institut de l'Information Scientifique et Technique)
21. Mapping memories in the medial temporal lobe: contributions from single-neuron recordings in patients with epilepsy
    Indre V. Viskontas · 2012
22. Towards Lifelong Reasoning with Sparse and Compressive Memory Systems
    Jack W. Rae · 2021 · UCL Discovery (University College London)
23. A familiar thought: Machines that replace us?
    Basile Confavreux, Tim P. Vogels · 2022 · Neuron
24. Computational models can distinguish the contribution from different mechanisms to familiarity recognition
    John Read, Emma Delhaye, Jacques P Sougné · 2023
25. Modeling familiarity through the combination of deep learning and Hebbian training
    John Read, Jacques P Sougné · 2023 · Brain and Cognition
26. The basolateral amygdala complex and perirhinal cortex represent focal and peripheral states of information processing in rats
    Francesca S Wong, Simon Killcross, Reginald Frederick Westbrook, Nathan M. Holmes · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
27. When Firing Rate Falls Short: Spike Synchrony Reliably Disentangles Stimulus Saliency and Familiarity
    Viktoria Zemliak, Gordon Pipa, Pascal Nieters · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
28. The basolateral amygdala complex and perirhinal cortex represent focal and peripheral states of information processing in rats
    Francesca S Wong, Simon Killcross, Reginald Frederick Westbrook, Nathan M. Holmes · 2025 · eLife
29. The basolateral amygdala complex and perirhinal cortex represent focal and peripheral states of information processing in rats
    Francesca S Wong, Simon Killcross, Reginald Frederick Westbrook, Nathan M. Holmes · 2025 · eLife
30. The basolateral amygdala complex and perirhinal cortex represent focal and peripheral states of information processing in rats
    Francesca S Wong, Simon Killcross, Reginald Frederick Westbrook, Nathan M. Holmes · 2025 · eLife
31. The basolateral amygdala complex and perirhinal cortex represent focal and peripheral states of information processing in rats
    Francesca S Wong, Simon Killcross, Reginald Frederick Westbrook, Nathan M. Holmes · 2026 · eLife
32. Contribution à l’étude de la mémoire épisodique dans la schizophrénie : investigations comportementales et électrophysiologiques de l‘effet du traitement du contenu sémantique des stimuli sur la mobilisation des processus de familiarité et de récupération contextuelle chez des personnes atteintes de schizophrénie
    Lâle Battal-Merlet · 2019 · theses.fr (ABES)
33. A temporally distinct role for group I and group II metabotropic glutamate receptors in object recognition memory
    GRI Barker, ZI Bashir, MW Brown, EC Warburton · 2006 · Explore Bristol Research
34. Ensemble synchrony reliably disentangles input drive and familiarity
    Viktoria Zemliak, Gordon Pipa, Pascal Nieters · 2026 · Communications AI & Computing