Home » Anders Lansner
Anders
Anders Lansner
Professor

Publications

YearTitle
2014 A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation
2014 Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
2014 Memory consolidation from seconds to weeks : a three-stage neural network model with autonomous reinstatement dynamics
2014 Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction Error
2014 A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain
2014 Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network
2014 Spiking brain models : Computation, memory and communication constraints for custom hardware implementation
2014 A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system
2014 Synaptic and nonsynaptic plasticity approximating probabilistic inference
2013 Anisotropic connectivity implements motion-based prediction in a spiking neural network
2013 Arterial input function derived from pairwise correlations between PET-image voxels
2013 Biologically inspired large scale chemical sensor arrays and embedded data processing
2013 Effect of Prestimulus Alpha Power, Phase, and Synchronization on Stimulus Detection Rates in a Biophysical Attractor Network Model
2013 A modular attractor associative memory with patchy connectivity and weight pruning
2013 Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network
2013 Reactivation in Working Memory : An Attractor Network Model of Free Recall
2013 Stimulus detection rate and latency, firing rates and 1-40Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model
2012 Action selection performance of a reconfigurable Basal Ganglia inspired model with Hebbian-Bayesian Go-NoGo connectivity
2012 A Cortical Attractor Network with Martinotti Cells Driven by Facilitating Synapses
2012 Nexa : A scalable neural simulator with integrated analysis
2012 Reverse Engineering of Nature in the field of Chemical Sensors
2012 Variability of spike firing during theta-coupled replay of memories in a simulated attractor network
2011 Adaptive sensor drift counteraction by a modular neural network
2011 Is attentional blink a byproduct of neocortical attractors?
2011 A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
2011 Map formation in the olfactory bulb by axon guidance of olfactory neurons
2011 Odor recognition framework for evaluating olfactory codes
2011 Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model
2010 Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network
2010 A Novel Model-Free Data Analysis Technique Based on Clustering in a Mutual Information Space : Application to Resting-State fMRI

Projects

Year Title
  Implementing models in hardware