P-3B.86

Functional Double-Dissociation Along the Human Hippocampal Long Axis

Peter A. Angeli, Lauren M. DiNicola, Noam Saadon-Grosman, Harvard University, United States; Randy L. Buckner, Harvard University; Massachusetts General Hospital, United States

Session:
Posters 3B Poster

Track:
Cognitive science

Location:
Marquee

Presentation Time:
Sat, 26 Aug, 13:00 - 15:00 United Kingdom Time

Abstract:
The hippocampus has long been appreciated to exhibit specialization along its long axis. Recently, a within-individual fMRI approach which leverages data from densely sampled participants identified preferential functional connectivity from the anterior and posterior hippocampus to cerebral networks DN-A and SAL / PMN, respectively. Building on this work, we explored the functional responses of these hippocampal regions in two independent cohorts of extensively scanned individuals (n = 9 and n = 11). We replicated the differential functional connectivity in both data sets and characterized a functional double dissociation between the anterior and posterior hippocampus. The anterior region was sensitive to the extent that participants engaged in scene construction, while the posterior region showed transient activation in response to salient stimuli. These findings support the important role of the anterior hippocampus in scene processing and suggest a role for the posterior hippocampus in processing salient stimuli.

Manuscript:
License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
DOI:
10.32470/CCN.2023.1612-0
Publication:
2023 Conference on Cognitive Computational Neuroscience
Presentation
Discussion
Resources
No resources available.
Session P-3B
P-3B.61: Reinforcement learning influences memory specificity across development
Kate Nussenbaum, Catherine Hartley, New York University, United States
P-3B.62: Cross-Task fMRI Decoding: a Window into Mind-Wandering
Ronald Dekker, University of Tokyo, Japan; Amanda Lins, Max Planck Institute, Germany; Aaron Nakamura, Junxia Wang, Morritz Bammel, University of Tokyo, Japan; Quentin Huys, University College London, United Kingdom; Nicolas Schuck, Max Planck Institute, Germany; Mingbo Cai, University of Tokyo, Japan
P-3B.63: A Novel Cognition-guided Neurofeedback Protocol for Methamphetamine Addiction Treatment
Huixing Gou, University of Science and Technology of China, China; Junjie Bu, Anhui Medical University, China; Xiaochu Zhang, University of Science and Technology of China, China
P-3B.64: Age-related differences in latent belief updating and its neural engagement
Yu-Shiang Su, Joshua Oon Soo Goh, National Taiwan University, Taiwan
P-3B.65: Effect of Target-distractor Similarity on Attentional Modulation in the Human Visual Cortex
Narges Doostani, Institute for Research in Fundamental Sciences, Iran; Gholam-Ali Hossein-Zadeh, University of Tehran, Iran; Radoslaw Martin Cichy, Freie Universität Berlin, Germany; Maryam Vaziri-Pashkam, National Institute of Mental Health, United States
P-3B.66: Anticipation of relevant vs. probable content recruits dissociable neural mechanisms
José M. G. Peñalver, Carlos González-García, Ana F. Palenciano, Marta Becerra-Losada, María Ruz, University of Granada, Spain
P-3B.67: Risking your Tail: Curiosity, Danger & Exploration
Tingke Shen, Peter Dayan, Max Planck Institute for Biological Cybernetics, Germany
P-3B.68: Multimodal units extract comodulated information
Marcus Ghosh, Sorbonne Universite, France; Gabriel Bena, Nicolas Perez-Nieves, Imperial College London, United Kingdom; Volker Bormuth, Sorbonne Universite, France; Dan F. M. Goodman, Imperial College London, United Kingdom
P-3B.69: Adapting Learning Rates to Multiple Environments
Jonas Simoens, Senne Braem, Tom Verguts, Ghent University, Belgium
P-3B.70: Humans and Neural Networks Show Similar Patterns of Transfer and Interference in a Continual Learning Task
Eleanor Holton, Lukas Braun, Jessica Thompson, Christopher Summerfield, Oxford University, United States
P-3B.71: Learning Successor Representations in the Hippocampus: Exploring the Role of Temporally Asymmetric and Symmetric Plasticity
Janis Keck, Max Planck Institute for mathematics in the sciences, Max Planck Institute for Human and Cognitive Brain Sciences, Germany; Christian F. Doeller, Max Planck Institute for Human and Cognitive Brain Sciences, Germany; Juergen Jost, Max Planck Institute for Mathematics in the Sciences, Germany; Caswell Barry, University College London, Germany
P-3B.72: When do Measured Representational Distances Reflect the Neural Representational Geometry?
Veronica Bossio Botero, Nikolaus Kriegeskorte, Columbia University, United States
P-3B.73: The Hippocampus sends perceptual predictions to the cortex
Oliver Warrington, Nadine N. Graedel, Martina F. Callaghan, Peter Kok, University College London, United Kingdom
P-3B.74: Privileged representational axes in biological and artificial neural networks
Meenakshi Khosla, Josh McDermott, Nancy Kanwisher, Massachusetts Institute of Technology, United States
P-3B.75: Sensitivity to the instrumental value of agency increases across development
Hanxiao Lu, Perri Katzman, Kate Nussenbaum, Catherine Hartley, New York University, United States
P-3B.76: Certainty-weighted integration of information in individual cortical neurons
Ben von Hünerbein, University of Bern, Switzerland; Matthijs oude Lohuis, Pietro Marchesi, Umberto Olcese, University of Amsterdam, Netherlands; Walter Senn, University of Bern, Switzerland; Cyriel Pennartz, University of Amsterdam, Netherlands; Jakob Jordan, Mihai Petrovici, University of Bern, Switzerland
P-3B.77: Revisiting the Role of Relearning in Semantic Dementia
Devon Jarvis, University of the Witwatersrand, South Africa; Verena Klar, University of Oxford, United Kingdom; Richard Klein, Benjamin Rosman, University of the Witwatersrand, South Africa; Andrew Saxe, University College London, United Kingdom
P-3B.78: CogPonder: Towards a Computational Framework of General Cognitive Control
Morteza Ansarinia, Pedro Cardoso-Leite, University of Luxembourg, Luxembourg
P-3B.79: Evaluating the Role of Edge-Surface Reconstruction in Complex Lightness Illusions
Srijani Saha, George Alvarez, Harvard University, United States
P-3B.80: Simple, Idiosyncratic Decision Heuristics in a Two-Armed Bandit Task
Mirko Thalmann, Eric Schulz, Max Planck Institute for Biological Cybernetics, Germany
P-3B.81: The brain can’t copy-paste: End-to-end topographic neural networks as a way forward for modelling cortical map formation and behaviour
Zejin Lu, Freie Universitaet Berlin, Germany; Adrien Doerig, Victoria Bosch, University of Osnabrueck, Germany; Bas Krahmer, Radboud University, Netherlands; Daniel Kaiser, Justus-Liebig-Universitaet Gießen, Germany; Radoslaw Cichy, Freie Universitaet Berlin, Germany; Tim Kietzmann, University of Osnabrueck, Germany
P-3B.82: Effects of SORL1 rs2070045 polymorphism on cognitive decline and aging-related grey matter pattern in non-demented individuals
Chen Liu, Caishui Yang, Zhanjun Zhang, Beijing Normal University, China
P-3B.83: What did you expect? Prediction error tuning in sensory cortex
David Richter, Donders Institute, Netherlands; Tim Kietzmann, University of Osnabrück, Germany; Floris de Lange, Donders Institute, Netherlands
P-3B.84: Relational Episodic Inference for Fictive Planning
Aleix Alcacer, Marina Martínez Garcia, Universitat Jaume I, Spain; Daniel McNamee, Champalimaud Research, Portugal; Raphael Kaplan, Universitat Jaume I, Spain
P-3B.85: Frequency-Specific Contributions to Perceptual Priors in Audition: Testing the Predictive-Coding Prediction
Aviel Sulem, Itay Lieder, Merav Ahissar, Hebrew University of Jerusalem, Israel
P-3B.86: Functional Double-Dissociation Along the Human Hippocampal Long Axis
Peter A. Angeli, Lauren M. DiNicola, Noam Saadon-Grosman, Harvard University, United States; Randy L. Buckner, Harvard University; Massachusetts General Hospital, United States
P-3B.87: Effect of Environmental Stochasticity on Planning Depth
Jordan Lei, Wei Ji Ma, New York University, United States
P-3B.88: Inverse Reflection Effect During Context-Dependent Learning of Risky Choices
Ali Shiravand, École Normale Supérieure, France; Maëlle Gueguen, Rutgers University-New Brunswick, United States; Sophie Bavard, University of Hamburg, Germany; Julien Bastin, Université Grenoble Alpes, France; Stefano Palminteri, École Normale Supérieure, France
P-3B.89: High-dimensional Sampling in Random Neural Networks Competes With Deep Learning Models of Visual Cortex
Atlas Kazemian, Eric Elmoznino, Michael Bonner, Johns Hopkins University, United States
P-3B.90: First Steps in Using Topographic Deep Artificial Neural Network Models to Generate Hypotheses about Not-yet-detected Functional Neural Clusters in the Ventral Stream
Kamila M. Jozwik, Massachusetts Institute of Technology and University of Cambridge, United Kingdom; Hyodong Lee, Nancy Kanwisher, James J. DiCarlo, Massachusetts Institute of Technology, United States
P-3B.91: Age-Related Changes in Neural Noise in a Decision-Making Task
Fenying Zang, Leiden University, Netherlands; Anup Khanal, University of California Los Angeles, United States; International Brain Laboratory, www.internationalbrainlab.com, United States; Anne K Churchland, University of California Los Angeles, United States; Anne E Urai, Leiden University, Netherlands
P-3B.92: From Primates to Robots: Emerging Oscillatory Latent-Space Dynamics for Sensorimotor Control
Alexander Mitchell, Oiwi Parker Jones, Jun Yamada, Wolfgang Merkt, Ioannis Havoutis, Ingmar Posner, University of Oxford, United Kingdom
P-3B.93: Curriculum Effects on Compositional Generalisation Revisited
Carla Cremer, Jacques Pesnot Lerousseau, Chris Summerfield, Oxford, United Kingdom
P-3B.94: A stimulus-computable model of beta oscillatory responses to speech
Christoph Daube, University of Glasgow, United Kingdom; Joachim Gross, University of Münster, Germany; Robin A. A. Ince, University of Glasgow, United Kingdom
P-3B.95: Explaining the function of the N400 as the update of the internal representations of ANN models of sentence processing
Alessandro Lopopolo, Milena Rabovsky, University of Potsdam, Germany
P-3B.96: Mechanisms of Input-Frequency Dependent Pattern Separation in the Dentate Gyrus
Selena Singh, Suzanna Becker, McMaster University, Canada; Thomas Trappenberg, Abraham Nunes, Dalhousie University, Canada
P-3B.97: Reward morphs non-spatial cognitive maps in humans
Nir Moneta, Max Planck Institute for Human Development Berlin, Germany; Charley M. Wu, University of Tübingen, Germany; Christian F. Doeller, Max Planck Institute for Human Cognitive and Brain Sciences, Germany; Nicolas W. Schuck, Universität Hamburg, Germany
P-3B.98: Does Posner cueing engage attention or expectation? Answers from an embedding-filtered deep convolutional network
Mainak Biswas, Barath Mohan Umapathi, Sricharan Sunder, Devarajan Sridharan, Indian Institute of Science, India
P-3B.99: Uncertainty-driven exploration in the basal ganglia
Yuhao Wang, Armin Lak, Sanjay Manohar, Rafal Bogacz, University of Oxford, United Kingdom
P-3B.100: Modelling Novelty Detection in the Cortex with Predictive Coding
Tianjin Li, Mufeng Tang, Rafal Bogacz, University of Oxford, United Kingdom
P-3B.101: Teasing apart the representational spaces of ANN language models to discover key axes of model-to-brain alignment
Eghbal Hosseini, Noga Zaslavsky, Colton Casto, Evelina Fedorenko, Massachusetts Institute of Technology, United States
P-3B.102: Two-dimensional Reward Evaluation and Its Relevance to Anhedonia
Yan Yan, Stanford University, United States; Margaret Westwater, Laurence Hunt, Michael Browning, University of Oxford, United Kingdom
P-3B.103: Higher-level spatial prediction during natural scene perception in mouse primary visual cortex
Micha Heilbron, Floris de Lange, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Netherlands
P-3B.104: Generalization and Discrimination in Reinforcement Learning: Developmental Trajectories and the Potential Link with Psychotic Symptoms
Wei Chen, Aaron Nakamura, The University of Tokyo, Japan; Jialing Ding, KU Leuven, Belgium; Naohiro Okada, Shinsuke Koike, Sho Yagishita, Shin Ishii, Haruo Kasai, Yuko Yotsumoto, Ming Bo Cai, The University of Tokyo, Japan
P-3B.105: The Role of Habituation in Risk-taking Escalation
Hadil Haj Ali, Moshe Glickman, University College London, The Max Planck UCL Centre for Computational Psychiatry and Ageing Research, United Kingdom; Tali Sharot, University College London, The Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Massachusetts Institute of Technology, United Kingdom
P-3B.106: The size-weight illusion is explained by efficient coding based on correlated natural statistics
Paul Bays, University of Cambridge, United Kingdom
P-3B.107: Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamic Mode Representational Similarity Analysis
Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete, Massachusetts Institute of Technology, United States
P-3B.108: A shared neural circuit for maintenance and integration of information over time
Peter Murphy, Maynooth University, Ireland; Hannah McDermott, Freie University, Germany; Klaus Wimmer, Centre de Recerca Matemàtica, Spain; Jade Duffy, Trinity College Dublin, Ireland; Jose Esnaola-Acebes, Centre de Recerca Matemàtica, Spain; Albert Compte, Institut D’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Robert Whelan, Trinity College Dublin, Ireland
P-3B.109: A Neuro-symbolic Model of Event Comprehension
Tan Nguyen, Matthew Bezdek, Washington University in St. Louis, United States; Samuel Gershman, Harvard University, United States; Todd Braver, Aaron Bobick, Jeffrey Zacks, Washington University in St. Louis, United States
P-3B.110: Spatially-embedded recurrent spiking neural networks reveal patterns of topologically structured computations
Andrew Siyoon Ham, Duncan E. Astle, University of Cambridge, United Kingdom; Jascha Achterberg, University of Cambridge / Intel Labs, United Kingdom; Danyal Akarca, University of Cambridge, United Kingdom
P-3B.111: AI-driven cholinergic theory enables rapid and robust cortex-wide learning
Maija Filipovica, Kevin Kermani Nejad, Will Greedy, Heng Wei Zhu, Jack Mellor, Rui Ponte Costa, University of Bristol, United Kingdom
P-3B.112: Characterising the spatiotemporal profiles of neural object representations using implicit and explicit similarity judgement tasks
Peter Brotherwood, Université de Montréal, Canada; Simon Faghel-Soubeyrand, University of Oxford, United Kingdom; Jasper van den Bosch, Ian Charest, Université de Montréal, Canada
P-3B.113: Illusions of Confidence in Artificial Systems
Clara Colombatto, Steve Fleming, University College London, United Kingdom
P-3B.114: Decoding accuracies as well as ERP amplitudes do not show between-task correlations
Benedikt V. Ehinger, Hannes Bonasch, University of Stuttgart, Germany
P-3B.115: Planning with Others in Mind
Nastaran Arfaei, WeiJi Ma, NYU, United States
P-3B.116: A Representation of Event Probability Density in Temporo-Parietal Neural Dynamics
Matthias Grabenhorst, David Poeppel, Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Germany; Georgios Michalareas, Max Planck Institute for Empirical Aesthetics, Germany
P-3B.117: Neural Representations of Algorithms in the Logical Reasoning Network are Recycled for Programming Code Comprehension
Yun-Fei Liu, Janice Chen, Colin Wilson, Marina Bedny, Johns Hopkins University, United States
P-3B.118: Projectional motifs facilitate sequence memorization and transfer
Shuchen Wu, Mirko Thalmann, Eric Schulz, Max Planck Institute for Biological Cybernetics, Germany
P-3B.119: Hyper-HMM: simultaneous temporal and spatial pattern alignment for brains and stimuli
Caroline Lee, Columbia University, Dartmouth College, United States; Jane Han, Ma Feilong, Guo Jiahui, James Haxby, Dartmouth College, United States; Christopher Baldassano, Columbia University, United States
P-3B.120: Skip Connections Increase the Capacity of Variable Binding Mechanisms
Yi Xie, Massachusetts Institute of Technology, United States; Yichen Li, Harvard University, United States; Tomaso Poggio, Akshay Rangamani, Massachusetts Institute of Technology, United States