Previous editions
Winter term 2023/24
In winter term 2023/24 we will read the book Your Brain Is a Time Machine: The Neuroscience and Physics of Time by Dean Buonomano, W. W. Norton & Company, Inc. (2017).
Summer term 2023
In summer term 2023 we will read the book Desert Navigator: The Journey of an Ant by Rüdiger Wehner, Harvard University Press (2020).
Winter term 2022/23
One important component of spatial processing is the ability to determine a facing direction around a 360-degree body axis. Evidence for a distributed network of individual cells that fire at a certain heading direction, called head direction (HD) cells, come from multiple mammalian species, including humans. Modelling work has also been successful at explaining the firing patterns with ring-attractor networks. There are several open questions within the literature of the HD system including: 1) what types of inputs are relevant for the system, 2) why the HD system is distributed throughout the brain and 3) whether it is actually relevant for spatial behavior. In this seminar we will begin with an overview of the mammalian head direction system and its properties, and then look at recent literature that attempts to answer these questions using animal models, humans and modeling.
08.02.2023
Dudchenko, Wood & Smith (2019) A new perspective on the head direction cell system and spatial behavior. Neuroscience & Biobehavioral Reviews (Imre)
01.02.2023
Keshavarzi et al. (2022) Multisensory coding of angular head velocity in the retrosplenial cortex. Neuron (Marie)
25.01.2023
Park et al. (2019) How the internally organized direction sense is used to navigate. Neuron (Marta)
11.01.2023
Shine & Wolbers (2021) Global and local head direction coding in the human brain. bioRxiv (Elif)
14.12.2022
Page & Jeffrey (2018) Landmark-Based Updating of the Head Direction System by Retrosplenial Cortex: A Computational Model. Frontiers Cellular Neuroscience (Camillo)
07.12.2022
Yan et al. (2021) A model of head direction and landmark coding in complex environments. PLoS Comp Biol (Kay)
30.11.2022
Lozano et al. (2017) Retrosplenial and postsubicular head direction cells compared during visual landmark discrimination. Brain Neurosci Adv (Polina)
23.11.2022
Carriot et al. (2022) Sensory adaptation mediates efficient and unambiguous encoding of natural stimuli by vestibular thalamocortical pathways. Nat Comm (Kay)
16.11.2022
Cullen & Taube (2017) Our sense of direction: progress controversies and challenges. Nat Neurosci (Virginia)
Winter term 2021/22
26.1.2022
Zhou, Masmanidis, and Buonomano (2020) Neural Sequences as an Optimal Dynamical Regime for the Readout of Time. Neuron (Julia)
12.1.2022
Goel and Buonomano (2014) Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments. Philosophical transactions Royal Society B (Katharina)
15.12.2021
Sohn, Narain, Meirhaeghe, and Jazayeri (2019) Bayesian Computation through Cortical Latent Dynamics. Neuron (Zahra)
8.12.2021
Meirhaeghe, Sohn, and Jazayeri (2021) A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex. Neuron (Kay)
01.12.2021
Toso, Reinartz, Pulecchi, and M. E. Diamond (2021) Time coding in rat dorsolateral striatum. Neuron (Amalya)
24.11.2021
Reinartz, Fassihi, Paz, Pulecchi, Gigante, and M. Diamond (2021) The sensory code within sense of time. bioRxiv (Mira)
17.11.2021
Damsma, Schlichting, and Rijn (2021) Temporal Context Actively Shapes EEG Signatures of Time Perception. Journal of Neuroscience (Cemre)
10.11.2021
Zimmermann and Cicchini (2020) Temporal Context affects interval timing at the perceptual level. Scientific Reports (Kawther)
03.11.2021
Shi, Church, and Meck (2013) Bayesian optimization of time perception. Trends Cogn Sci
Petzschner, Glasauer, and Stephan (2015) A Bayesian perspective on magnitude estimation. Trends Cogn Sci
(Virginia)
27.10.2021
Paton and Buonomano (2018) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions. Neuron (Kay)
Summer term 2021
In summer term 2021 we read papers on the interaction of time and space (perception).
07.07.2021
Buzsáki & Llinás (2017) Space and time in the brain. Science (Virginia)
30.06.2021
Issa et al. (2020) Navigating Through Time: A Spatial Navigation Perspective on How the Brain May Encode Time. Annual Review of Neuroscience (Kay)
23.06.2021
Umbach et al. (2020) Time cells in the human hippocampus and entorhinal cortex support episodic memory. PNAS (Ricardo)
16.06.2021
Harvey et al. (2020) A Network of Topographic Maps in Human Association Cortex Hierarchically Transforms Visual Timing-Selective Responses. Curr Biol (Jonatan)
09.06.2021
Wiener et al. (2019) Movement Improves the Quality of Temporal Perception and Decision-Making. eNeuro (Ricardo)
02.06.2021
Safaie et al. (2020) Turning the body into a clock: Accurate timing is facilitated by simple stereotyped interactions with the environment. PNAS (Catharina)
26.05.2021
Cona, Wiener, Scarpazza (2021) From ATOM to GradiATOM: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies. NeuroImage (Jonatan)
19.05.2021
Shehan et al. (2021) A compressed representation of spatial distance in the rodent hippocampus. bioRxiv (Florian)
12.05.2021
Marcos, Tsujimoto, Genovesio (2017) Independent coding of absolute duration and distance magnitudes in the prefrontal cortex. J Neurophysiol (Florian)
05.05.2021
Gauthier, Pestke, van Wassenhove (2018) Building the Arrow of Time… Over Time: A Sequence of Brain Activity Mapping Imagined Events in Time and Space. Cerebral Cortex (Barbara)
28.04.2021
Robinson & Wiener (2021) Dissociable neural indices for time and space estimates during virtual distance reproduction. NeuroImage (Virginia)
21.04.2021
Marcos & Genovesio (2017) Interference between Space and Time Estimations: From Behavior to Neurons. Frontiers Neurosci (Kay)
Winter term 2020/21
In winter term 2020/21 we focus on “Path integration”.
10.02.2021
Bierbrauer et al. (2020) Unmasking selective path integration deficits in Alzheimer’s disease risk carriers. Science Advances (Katharine)
03.02.2021
Stangl et al. (2020) Sources of path integration error in young and aging humans. Nat Commun (Christine)
27.01.2021
Jang et al. (2019) Travel linearity and speed of human foragers and chimpanzees during their daily search for food in tropical rainforests. Scientific Reports (Yannik)
20.01.2021
Harten et al. (2020) The ontogeny of a mammalian cognitive map in the real world. Science (Jelena)
13.01.2021
Heinze et al. (2018) Principles of insect path integration. Current Biology (Morgan)
23.12.2020
Caron-Guyon et al. (2020) Neuronal encoding of multisensory motion features in the rat associative parietal cortex. Cerebral Cortex (Arpit)
16.12.2020
Vale et al. (2020) A cortico-collicular circuit for accurate orientation to shelter during escape. bioRxiv (Matt)
09.12.2020
Gil et al. (2018) Impaired path integration in mice with disrupted grid cell firing. Nat Neurosci (Lukas)
02.12.2020
Jacob et al. (2019) Path integration maintains spatial periodicity of grid cell firing in a 1D circular track. Nat Commun (Rosalie)
25.11.2020
Jayakumar et al. (2019) Recalibration of path integration in hippocampal place cells. Nature (Lidiia)
18.11.2020
Savelli and Knierim (2019) Origin and role of path integration in the cognitive representations of the hippocampus: computational insights into open questions. J Experimental Biology (Virginia)
11.11.2020
McNaughton et al. (2006) Path integration and the neural basis of the 'cognitive map'. Nat Rev Neurosci (Kay)
04.11.2020
Etienne and Jeffery (2004) Path integration in mammals. Hippocampus (Fabian)
Summer term 2020
In summer term 2020 we will read the book The Brain from Inside Out by György Buzsáki, Oxford University Press (2019).
Winter term 2019/20
The hippocampus and surrounding medial temporal lobe (MTL) contain cell types that represent place, time and are important for memory. Both brain regions are conserved across species implying general function. For years this function has been suggested in pattern separation, pattern completion, and attractor dynamics that would be necessary for memory. This winter term we first examine recent evidence for pattern completion, pattern separation and attractor dynamics based on the anatomy and circuitry of the hippocampus. Later we will broaden the view and look at papers on how hippocampus and MTL are related to time and space.
05.02.2020
Chan et al. (2017) Low-frequency hippocampal-cortical activity drives brain-wide resting-state functional MRI connectivity. PNAS (Uma)
29.01.2020
Danjo, Toyoizumi, and Fujisawa (2018) Spatial representations of self and other in the hippocampus. Science (Andrey)
22.01.2020
Opendak et al. (2016) Lasting Adaptations in Social Behavior Produced by Social Disruption and Inhibition of Adult Neurogenesis. J Neurosci (Fabian)
15.01.2020
Garvert, Dolan, and Behrens (2017) A map of abstract relational knowledge in the human hippocampal- entorhinal cortex. eLife (Uma)
08.01.2020
Theves, Fernandez, and Doeller (2019) The Hippocampus Encodes Distances in Multidimensional Feature Space. Current Biology (Chris)
18.12.2019
Tsao et al. (2018) Integrating time from experience in the lateral entorhinal cortex. Nature (Kate)
11.12.2019
Mau et al. (2018) The Same Hippocampal CA1 Population Simultaneously Codes Temporal Information over Multiple Timescales. Current Biology (Kate)
04.12.2019
Vikbladh et al. (2019) Hippocampal Contributions to Model-Based Planning and Spatial Memory. Neuron (Hari)
27.11.2019
Tsitsiklis et al. (2019) Single-neuron representations of spatial memory targets in humans. bioRxiv (Danielle)
20.11.2019
Leutgeb et al. (2005) Place cells, spatial maps and the population code for memory. Curr Opin Neurobiol (Kay)
13.11.2019
Ballard et al. (2019) Hippocampal pattern separation supports reinforcement learning. Nat Commun (Andrey)
06.11.2019
Bolz et al. (2015) Running Improves Pattern Separation during Novel Object Recognition. Brain Plasticity (Snata)
30.10.2019
Madar et al. (2019) Pattern separation of spiketrains in hippocampal neurons. Scientific Reports (Chris)
23.10.2019
Guzman et al. (2016) Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science (Danielle)
16.10.2019
Introduction (Virginia)
Yassa and Stark (2011) Pattern separation in the hippocampus. TINS
Summer term 2019
In summer term 2019 we read papers on Bayesian inference in behavior and its neural implementation.
24.07.2019
Goel and Buonomano (2016) Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics. Neuron (Avleen)
17.07.2019
Merchant et al. (2011) Measuring time with different neural chronometers during a synchronization-continuation task. PNAS (Isabel)
10.07.2019
Sohn et al. (2018) Bayesian computation through cortical latent dynamics. bioRxiv (Konstantin)
26.06.2019
Darlington et al. (2018) Neural implementation of Bayesian inference in a sensorimotor behavior. Nat Neurosci (Kay)
05.06.2019
Coull et al. (2016) Differential roles for parietal and frontal cortices in fixed versus evolving temporal expectations: Dissociating prior from posterior temporal probabilities with fMRI. NeuroImage (Mani)
29.05.2019
Narain, Remington, Zeeuw, and Jazayeri (2018) A cerebellar mechanism for learning prior distributions of time intervals. Nat Commun (Kate)
20.05.2019
Hardy et al. (2018) A model of temporal scaling correctly predicts that motor timing improves with speed. Nat Commun
Paton and Buonomano (2018) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions. Neuron
(Dean Buonomano)
15.05.2019
Cicchini, Mikellidou, and Burr (2018) The functional role of serial dependence. Proceedings of the Royal Society B: Biological Sciences (Nancy)
08.05.2019
Glasauer and Shi (2018) 150 years of research on Vierordt’s law-Fechner’s fault? bioRxiv (Kay)
Winter term 2018/19
In winter term 2018/19 we focus on “Spatial navigation off the beaten track”. We will read a number of papers on areas less often studied in this context (e.g. perirhinal, visual and premotor cortices), less obvious animal models (e.g. drosophila, goldfish, bees), and inventive experimental design (e.g. scene anticipation, lateralized oscillations, visual grid cells) and modeling (e.g. AI vector-based navigation).
27.02.2019
Omer et al. (2018) Social place-cells in the bat hippocampus. Science
Danjo et al. (2018) Spatial representations of self and other in the hippocampus. Science
(Kate)
20.02.2019
Saleem et al. (2018) Coherent encoding of subjective spatial position in visual cortex and hippocampus. Nature (Kate)
13.02.2019
Stone et al. (2017) An Anatomically Constrained Model for Path Integration in the Bee Brain. Current Biology (Avleen)
06.02.2019
Su et al. (2017) Coupled symmetric and asymmetric circuits underlying spatial orientation in fruit flies. Nat Commun (Marco)
30.01.2019
Green at al. (2018) Walking Drosophila aim to maintain a neural heading estimate at an internal goal angle. bioRxiv (Kay)
23.01.2019
Fujiwara et al. (2017) A faithful internal representation of walking movements in the Drosophila visual system. Nat Neurosci (Michael)
16.01.2019
Banino et al. (2018) Vector-based navigation using grid-like representations in artificial agents. Nature (Marco)
09.01.2019
Shikauchi and Ishii (2016) Robust encoding of scene anticipation during human spatial navigation. Scientific Reports (Andrey)
19.12.2018
Balaguer et al. (2016) Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network. Neuron (Kay)
05.12.2018
Miller et al. (2018) Lateralized hippocampal oscillations underlie distinct aspects of human spatial memory and navigation. Nat Commun (Avleen)
28.11.2018
Nau et al. (2018) Hexadirectional coding of visual space in human entorhinal cortex. Nat Neurosci (Virginia)
21.11.2018
Yin et al. (2018) Place Cell-Like Activity in the Primary Sensorimotor and Premotor Cortex During Monkey Whole-Body Navigation. Scientific Reports (Kate)
14.11.2018
Alexander and Nitz (2017) Spatially Periodic Activation Patterns of Retrosplenial Cortex Encode Route Sub-spaces and Distance Traveled. Current Biology (Ritu)
07.11.2018
Bos et al. (2017) Perirhinal firing patterns are sustained across large spatial segments of the task environment. Nat Commun (Michael)
31.10.2018
Peyrache et al. (2017) Transformation of the head-direction signal into a spatial code. Nat Commun (Andrey)
24.10.2018
Vinepinsky et al. (2018) Representation of Border, Velocity and Speed in the Goldfish Brain. bioRxiv (Kay)
17.10.2018
Hinman et al. (2018) Neural mechanisms of navigation involving interactions of cortical and subcortical structures. J Neurophysiol (Kay)
Summer term 2018
11.07.2018
Neural foundations of human magnitude estimation (Virginia)
04.07.2018
Martin et al. (2017) A Bayesian Perspective on Accumulation in the Magnitude System. Scientific Reports
20.06.2018
Wang et al. (2018) Flexible timing by temporal scaling of cortical responses. Nat Neurosci (Hendrik)
13.06.2018
Tiganj et al. (2017) Sequential Firing Codes for Time in Rodent Medial Prefrontal Cortex. Cerebral Cortex (Judit)
06.06.2018
Tennant et al. (2018) Stellate Cells in the Medial Entorhinal Cortex Are Required for Spatial Learning. Cell Reports (Kate)
23.05.2018
Gauthier and Wassenhove (2016) Time Is Not Space: Core Computations and Domain-Specific Networks for Mental Travels. J Neurosci (Franziska)
16.05.2018
Vilares and Kording (2011) Bayesian models: the structure of the world, uncertainty, behavior, and the brain. Annals of the New York Academy of Sciences (Virginia)
09.05.2018
Churan et al. (2017) Integration of visual and tactile information in reproduction of traveled distance. J Neurophysiol (Franziska)
02.05.2018
Roach et al. (2017) Generalization of prior information for rapid Bayesian time estimation. PNAS (Verena)
25.04.2018
Sciutti et al. (2014) Development of context dependency in human space perception. Exp Brain Res (Mengxin)
18.04.2018
Jazayeri and Shadlen (2010) Temporal context calibrates interval timing. Nat Neurosci (Hannah)
11.04.2018
Petzschner et al. (2015) A Bayesian perspective on magnitude estimation. TICS (Kay)
Winter term 2017/18
In winter term 2017/18 we focus on “Path integration” (or “dead reckoning”). On this topic, we will discuss a number of studies spanning the spectrum from work in rodents to humans and from behavioral experiments to electrophysiological recordings, brain imaging and computational modeling.
07.02.2018
Ekstrom et al. (2017) Interacting networks of brain regions underlie human spatial navigation: A review and novel synthesis of the literature. J Neurophysiol (Virginia)
24.01.2018
Knight et al. (2014) Weighted cue integration in the rodent head direction system. Philos Trans R Soc Lond B Biol Sci (Ot)
31.01.2018
Sherrill et al. (2013) Hippocampus and retrosplenial cortex combine path integration signals for successful navigation. J Neurosci (Aljosha)
17.01.2018
Elduayen et al. (2014) The retrosplenial cortex is necessary for path integration in the dark. Behavioural Brain Research (Anna)
10.01.2018
Whitlock et al. (2012) Functional split between parietal and entorhinal cortices in the rat. Neuron (Kate)
20.12.2017
Tcheang et al. (2011) Visual influence on path integration in darkness indicates a multimodal representation of large-scale space. PNAS (Aljosha)
13.12.2017
Saleem et al. (2013) Integration of visual motion and locomotion in mouse visual cortex. Nat Neurosci (Kate)
06.12.2017
Jacob et al. (2017) Medial entorhinal cortex and medial septum contribute to self-motion-based linear distance estimation. Brain Structure & Function (Murat)
29.11.2017
Chen et al. (2015) Bias in Human Path Integration Is Predicted by Properties of Grid Cells. Current Biology (Charline)
22.11.2017
Lakshminarasimhan et al. (2017) A Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path Integration. bioRxiv (Johanna)
15.11.2017
Byrne et al. (2007) Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychological Review (Virginia)
08.11.2017
Lappe et al. (2007) Travel distance estimation from visual motion by leaky path integration. Exp Brain Res (Justyna)
25.10.2017
Kraus et al. (2015) During Running in Place, Grid Cells Integrate Elapsed Time and Distance Run. Neuron
(Davide)
18.10.2017
Introduction (Kay)
Section on “Dead reckoning”, Chapter 8, Shettleworth (2009) Cognition, evolution, and behavior.
Summer term 2017
11.10.17
Acerbi et al. (2012) Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing. PLOS Comput Biol
04.10.17
Roach et al. (2017) Generalization of prior information for rapid Bayesian time estimation. PNAS
27.09.17
Rohe & Noppeney (2015) Cortical hierarchies perform Bayesian causal inference in multisensory perception. PLoS Biol
20.09.17
Funamizu et al. (2016) Neural substrate of dynamic Bayesian inference in the cerebral cortex. Nat Neurosci
09.08.17
Murakami et al. (2014) Neural antecedents of self-initiated actions in secondary motor cortex. Nat Neurosci
02.08.17
Wang et al. (2017) Flexible control of speed of cortical dynamics. bioRxiv
26.07.17
Finnerty et al. (2015) Time in Cortical Circuits. J Neurosci (Virginia)
19.07.17
Kraus et al. (2013) Hippocampal ”Time Cells”: Time versus Path Integration. Neuron (Natalia)
12.07.17
Aronov et al. (2017) Mapping of a non-spatial dimension by the hippocampal-entorhinal circuit. Nature (Tommaso)
05.07.17
Gouvea et al. (2015) Striatal dynamics explain duration judgments. eLife (David)
28.06.17
Mello, Soares, and Paton (2015) A scalable population code for time in the striatum. Curr Biol (Sachith)
14.06.17
Coull et al. (2015) SMA Selectively Codes the Active Accumulation of Temporal, Not Spatial, Magnitude. J Cog Neurosci (Eva)
07.06.17
Hayashi et al. (2015) Time Adaptation Shows Duration Selectivity in the Human Parietal Cortex. PLoS Biol (Natalia)
31.05.17
Shi, Church, and Meck (2013) Bayesian optimization of time perception. TICS (Virginia)
24.05.17
Karmarkar and Buonomano (2007) Timing in the absence of clocks: encoding time in neural network states. Neuron (Alireza)
17.05.17
Droit-Volet (2013) Time perception in children: a neurodevelopmental approach. Neuropsychologia (Julian)
10.05.17
Petzschner and Glasauer (2011) Iterative Bayesian estimation as an explanation for range and regression effects: a study on human path integration. J Neurosci (Isabelle)
03.05.17
Jazayeri and Shadlen (2010) Temporal context calibrates interval timing. Nat Neurosci (Konstantina)
26.04.17
Introduction (Kay)
Petschner et al. (2015) A Bayesian perspective on magnitude estimation. TICS
Walsh (2003) A theory of magnitude: common cortical metrics of time, space and quantity. TICS
Winter term 2016/17
19.04.2017
Sussillo and Abbott (2009) Generating Coherent Patterns of Activity from Chaotic Neural Networks. Neuron
29.03.2017
Martin et al. (2017) A Bayesian Perspective on Accumulation in the Magnitude System. bioRxiv
08.03.2017
Bakhurin et al. (2017) Differential Encoding of Time by Prefrontal and Striatal Network Dynamics. J Neurosci
01.02.2017
Comparison of magnitude estimation models.
25.01.2017
Petzschner & Glasauer (2011) Iterative Bayesian Estimation as an Explanation for Range and Regression Effects: A Study on Human Path Integration. J Neurosci
18.01.2017
Morcos & Harvey (2016) History-dependent variability in population dynamics during evidence accumulation in cortex. Nat Neurosci
11.01.2017
Soares et al. (2016) Midbrain dopamine neurons control judgment of time. Science
20.12.2016
Thurley (2016) Magnitude Estimation with Noisy Integrators Linked by an Adaptive Reference. Front Integr Neurosci
07.12.2016
Cicchini et al. (2012) Optimal encoding of interval timing in expert percussionists. J Neurosci
30.11.2016
Jazayeri & Shadlen (2015) Neural mechanism for sensing and reproducing a time interval. Current Biology
23.11.2016
Bueti & Macaluso (2011) Physiological correlates of subjective time: evidence for the temporal accumulator hypothesis. NeuroImage
16.11.2016
Jazayeri & Shadlen (2010) Temporal context calibrates interval timing. Nat Neurosci
09.11.2016
Neural correlates of time reproduction in rodents. Josephine Henke
02.11.2016
Leon & Shadlen (2003) Representation of time by neurons in the posterior parietal cortex of the macaque. Neuron
26.10.2016
Mita et al. (2009) Interval time coding by neurons in the presupplementary and supplementary motor areas. Nat Neurosci
Yumoto et al. (2011) A neural correlate of the processing of multi-second time intervals in primate prefrontal cortex. PLOS ONE
19.10.2016
Genovesio et al. (2016) Context-dependent duration signals in the primate prefrontal cortex. Cerebral Cortex
12.10.2016
Bayesian modeling of magnitude estimation. Joshua Yudice
05.10.2016
Vilares et al. (2012) Differential representations of prior and likelihood uncertainty in the human brain. Current Biology
14.09.2016
Wiener et al. (2016) Functional correlates of likelihood and prior pepresentations in a virtual distance task. Human Brain Mapping