Attractor Network Models of Cortical Associative Memory. - Anders Lansner; Erik Fransén (BCEC, 1997)

A biophysical simulation of intrinsic and network properties of entorhinal cortex. - Erik Fransén; Gene V. Wallenstein; Angel A. Alonso; Clayton T. Dickson; Michael E. Hasselmo (Neurocomputing, 1999)

Entorhinal neuronal activity during delayed matching tasks may depend upon muscarinic-induced non-specific cation current I(CANM). - Erik Fransén; Angel A. Alonso; Michael E. Hasselmo (Neurocomputing, 2001)

Effects of short-term synaptic plasticity in a local microcircuit on cell firing. - David Eriksson; Erik Fransén; Yuri Zilberter; Anders Lansner (Neurocomputing, 2003)

Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks. - Erik Fransén (Neurocomputing, 2003)

Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. - Anders Lansner; Erik Fransén; Anders Sandberg (Theory Biosci., 2003)

Intrinsic desynchronization properties of neurons containing dendritic rapidly activating K-currents. - Vicente Charcos Lloréns; Erik Fransén (Neurocomputing, 2004)

A synapse which can switch from inhibitory to excitatory and back. - Erik Fransén (Neurocomputing, 2005)

An autocatalytic model of STDP timing from slow calcium-dependent signals. - Anders Sandberg; Erik Fransén (Neurocomputing, 2005)

Functional role of entorhinal cortex in working memory processing. - Erik Fransén (Neural Networks, 2005)

Neural response profile design: Reducing epileptogenic activity by modifying neuron responses to synchronized input using novel potassium channels obtained by parameter search optimization. - Erik Fransén (Neurocomputing, 2007)

A phase code for memory could arise from circuit mechanisms in entorhinal cortex. - Michael E. Hasselmo; Mark P. Brandon; Motoharu Yoshida; Lisa M. Giocomo; James G. Heys; Erik Fransén; Ehren L. Newman; Eric A. Zilli (Neural Networks, 2009)

Detection of Ischemic Infarct Core in Non-contrast Computed Tomography. - Maximilian Hornung; Oliver Taubmann; Hendrik Ditt; Björn H. Menze; Pawel Andrzej Herman; Erik Fransén (MLMI@MICCAI, 2020)

NeuralDynamicsLab at ImageCLEFmedical 2022. - Georgios Moschovis; Erik Fransén (CLEF (Working Notes), 2022)

Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data. - Gonzalo Uribarri; Simon Ekman von Huth; Josefine Waldthaler; Per Svenningsson; Erik Fransén (CoRR, 2023)

Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis. - Adrià Solana; Erik Fransén; Gonzalo Uribarri (AALTD@ECML/PKDD, 2024)

Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels. - Gonzalo Uribarri; Federico Barone; Alessio Ansuini; Erik Fransén (Data Min. Knowl. Discov., 2024)