• RUB
  • INI
  • Courses
  • Colloquium: Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation

Colloquium: Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation

In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation.

Takes place every week virtually on Tuesday from 16:00 to 17:30 CEST (central European summer time)
First appointment is on 16.04.2024
Last appointment is on 16.07.2024

Zoom link: https://ruhr-uni-bochum.zoom.us/j/68766911124?pwd=MFErK284UmN5V25wZzd5L1FCaWo3QT09

Schedule (provisional)

16.04.24 Eloy Parra Barrero - Instituto Cajal CSIC
A taxonomy of spatial navigation processes
In recent decades, neuroscientists have discovered and characterized a whole zoo of neural representations of space. However, relatively little attention has been paid to the navigation behaviors these representations are meant to enable. Drawing insights from behavioral, neurobiological and robotics research, we have proposed a taxonomy of spatial navigation behaviors in mammals that can help guide interdisciplinary research into the neural basis of spatial navigation (Parra-Barrero et al., 2023). I will introduce the taxonomy and showcase its usefulness in identifying potential issues with common experimental approaches, correctly interpreting neural activity and pointing to new avenues of research.
30.04.24 Marko Nardini - Durham University
Learning effective perception and action in space
Our experience of the world seems to unfold seamlessly in a unitary 3D space. For this to be possible, the brain must merge numerous different sensory inputs and cognitive representations. How does it learn to do so? I discuss work on two key combination problems: coordinating multiple frames of reference (e.g. egocentric and allocentric), and coordinating multiple sensory signals (e.g. visual and proprioceptive). I focus on two populations whose spatial processing we can observe at a crucial stage of being configured and optimised: children, whose spatial abilities are still developing, and naïve adults learning new spatial skills, such as sensing distance using new auditory cues. The work uses a model-based approach to compare behaviour with the predictions of alternative information processing models. This lets us see when and how-during development, and with experience-the perceptual-cognitive computations underpinning our experiences in space change. I will discuss progress on understanding the limits of effective spatial computation for perception and action, and how lessons from the developing spatial cognitive system can inform approaches to augmenting human abilities with new sensory signals provided by technology.
07.05.24 Laurenz Wiskott & Eddie Seabrook - Ruhr University Bochum
Self-organization of spatial representations: Slow Feature Analysis and Successor Representation
Slow feature analysis (SFA) is an unsupervised learning method that is able to learn spatial representations from visual data akin to that of grid cells. Combined with independent component analysis (ICA) it leads to place cell and head direction cell responses. The successor representation (SR) is a spatial representation emerging in reinforcement learning (RL) studies of navigation with changing reward contingencies. Even though these two methods have very different origins, it is interesting to note that under some assumptions they lead to equivalent representations.  Here we will introduce SFA and SR and discuss their relationship with each other.
14.05.24 Elizabeth Chrastil - University of California at Irvine
Learning, aging, and individual differences in human spatial navigation

Navigation is a central part of daily life. For some, getting around is easy, while others struggle. Some clinical populations, such as those with Alzheimer’s Disease, display wandering behaviors and extensive disorientation. Working at the interface between immersive virtual reality and neuroimaging techniques, my research uses these complementary approaches to inform questions about how we acquire and use spatial knowledge. In this talk, I will discuss both some of my recent work and current experiments that center on three main themes: 1) how we learn new environments, 2) how the brain tracks spatial information, and 3) how individuals differ in their spatial abilities. My work also examines changes in the brain across the lifespan, including major transitions such as menopause and pregnancy. More broadly, I will discuss how navigation lends insight into processes of human learning and memory. The behavioral and neuroimaging studies presented in this talk inform new frameworks for understanding spatial knowledge, leading to novel approaches to answering the next major questions in navigation, learning, and memory.

28.05.24 Laure Rondi-Reig - Université Pierre et Marie Curie
Cerebellum and disorientation
11.06.24 Denis Sheynikhovich  - CNRS – INSERM
Impact of aging on human spatial navigation: the role of landmarks and geometry
02.07.24 Francesca Sargolini - Aix Marseille Université
TBA
09.07.24 Sandhiya Vijayabaskaran - Ruhr University Bochum
TBA
16.07.24 Aaron Wilber - Florida State University
A parietal-hippocampal network for figuring out where you are and what to do next is dysfunctional in AD

Lecturers

Details

Course type
Seminars
Term
Summer Term 2024

Documents

Document A map of spatial navigation for neuroscience

Parra-Barrero, E., Vijayabaskaran, S., Seebrook, E., Wiskott, L., Cheng, S. (2023). A map of spatial navigation for neuroscience. Neuroscience & Biobehavioral Reviews, 152. https://doi.org/10.1016/j.neubiorev.2023.105200

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210