Mikkel Lepperød

K. Holzhausen, M. Merlin, H. Torvik, A. Malthe-Sørenssen and M. Lepperød

Exploring Biologically Inspired Mechanisms of Adversarial Robustness

Neural Computing and Applications

M. B. Pettersen, V. Schøyen, A. Malthe-Sørenssen and M. Lepperød

Decoding the Cognitive map: Learning place cells and remapping

eLife

V. Schøyen, C. Bechkov, M. B. Pettersen, E. Hermansen, K. Holzhausen, A. Malthe-Sørenssen, M. Fyhn and M. Lepperød

Hexagons all the way down: Grid cells as a conformal isometric map of space

PLOS Computational Biology

M. Kvalsund, S. Pontes-Filho, K. O. Ellefsen, K. Glette and M. Lepperød

Sensor Movement Drives Emergent Attention and Scalability in Active Neural Cellular Automata

npj Artificial Intelligence

M. B. Pettersen, V. Schøyen, M. Østby, A. Malthe-Sørenssen and M. Lepperød

Self-Supervised Grid Cells Without Path Integration

biorxiv

M. B. Pettersen, F. Rogge and M. Lepperød

Learning Place Cell Representations and Context-Dependent Remapping

Advances in Neural Information Processing Systems (NeurIPS 2024)

K. Danieli, M. Fyhn and M. Lepperød

Neuromodulated online cognitive maps for reinforcement learning

Bernstein

M. B. Pettersen, V. Schøyen, M. Østby and M. Lepperød

Self-Supervised Grid Cells Without Path Integration

NORA Annual Conference

M. Lepperød

Validating Models in NeuroAI

Self-organized workshop

M. Lepperød

Validating Models in NeuroAI

M. Lepperød

Biology for AI and AI for biology

M. Lepperød

BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

M. Lepperød

BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

M. Lepperød

On neuro-AI on the boat part 2

M. Lepperød

On neuro-AI on the boat part 1

M. Lepperød

Jøss podcast 2

M. Lepperød

Jøss podcast 1

V. Schøyen, M. B. Pettersen, K. Holzhausen, M. Fyhn, A. Malthe-Sørenssen and M. Lepperød

Coherently remapping toroidal cells but not Grid cells are responsible for path integration in virtual agents

iScience

J. Sønstebø, H. Brunborg and M. Lepperød

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric

Journal of Open Source Software

M. Wasiluk, M. Lepperød and K. O. Ellefsen

Self-Supervised Pseudodata Filtering for Improved Replay with Sub-Optimal Generators

TBA

V. Schøyen, M. B. Pettersen, K. Holzhausen, M. Fyhn, A. Malthe-Sørenssen and M. Lepperød

Coherently Remapping Toroidal Cells But Not Grid Cells are Responsible for Path Integration in Virtual Agents

iScience

M. Lepperød, T. Stöber, T. Hafting, M. Fyhn and K. Kording

Inferring causal connectivity from pairwise recordings and optogenetics

PLOS Computational Biology

K. Danieli, M. Fyhn and M. Lepperød

Online and memory-driven navigation through neuromodulation-based synaptic plasticity

-

M. Lepperød

Normative Modelling of Remapping in the Hippocampal Formation

UCSD, San Diego, US

M. Lepperød

Understanding AI: Technical Insights, Neuroscience Lessons and Future Possibilities

NMBU: Young NeuroAI workshop

M. Lepperød

Understanding AI: Technical Insights, Neuroscience Lessons and Future Possibilities

Simula Seminars: Exploring Norway's role in shaping future AI research

M. Lepperød

Understanding AI: Technical Insights, Neuroscience Lessons and Future Possibilities

AI Week Oslo Met, Norway

M. Kvalsund, K. O. Ellefsen, K. Glette, S. Pontes-Filho and M. Lepperød

The distributed neocortex: How neuroscience can inspire distributed AI systems

Workshop "The Distributed Ghost Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence" at ALIFE 2023

S. Pontes-Filho, S. Nichele and M. Lepperød

Critical Neural Cellular Automata

Workshop "The Distributed Ghost Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence" at ALIFE 2023

H. Lynnebakken, M. Lepperød and V. Schøyen

Hvordan holder hjernen orden på hvor du er? Ny kunnskap skal gi bedre KI

M. Riegler, M. Lepperød and L. Røstad

Norge som fanebærer for etikk i en uforutsigbar framtid

S. Nichele, S. Sæbø, K. Pettersen and M. Lepperød

NeuroAI - A strategic opportunity for Norway and Europe

Nordic Machine Intelligence

K. Beshkov, J. Verhellen and M. Lepperød

Isometric Representations in Neural Networks Improve Robustness

arxiv

M. de Kamps, H. Osborne, L. Deutz, F. van der Velde, M. Lepperød, Y. M. Lai and D. Sichau

MIIND: A Population-Level Neural Simulator Incorporating Stochastic Point Neuron Models

Encyclopedia of Computational Neuroscience

H. P. Targopula, A. Malthe-Sørenssen and M. Lepperød

Model-based meta reinforcement learning for alchemy

C. Bechkov, J. Verhellen and M. Lepperød

Manifold Propagation Through Neural Networks

M. B. Pettersen, V. Schøyen, A. Malthe-Sørenssen and M. Lepperød

Emergent Place Cells and Remapping in a Recurrent Neural Network Model

F. Rogge, A. Malthe-Sørenssen, M. Fyhn and M. Lepperød

On the Structural Sensitivity of the Successor Representation

C. Bechkov, J. Verhellen and M. Lepperød

Manifold propagation through recurrent neural networks

V. Schøyen, M. B. Pettersen, K. Holzhausen, A. Malthe-Sørenssen and M. Lepperød

Place and grid cell navigation in multiple environments

V. Schøyen, M. B. Pettersen, K. Holzhausen, A. Malthe-Sørenssen and M. Lepperød

Navigating Multiple Environments with Emergent Grid Cell Remapping

K. Holzhausen, M. Lepperød and A. Malthe-Sørenssen

Robustness of neural networks trained with biologically inspired local learning rules

I. Nymoen, F. Rogge, M. Lepperød, T. Hafting, K. K. Lensjø and M. Fyhn

Learning Flexibility in Parahippocampal Networks