Biologically plausible solutions for spiking networks with efficient coding
Authors: Veronika Koren, Stefano Panzeri
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we simulate the network with biologically plausible parameters and analyze the behavior of the network with respect to the complexity of E-E synaptic connections. |
| Researcher Affiliation | Academia | Veronika Koren Department of Excellence for Neural Information Processing Center for Molecular Neurobiology (ZMNH) University Medical Center Hamburg-Eppendorf (UKE) Falkenried 94, 20251 Hamburg, Germany v.koren@uke.de Stefano Panzeri Department of Excellence for Neural Information Processing Center for Molecular Neurobiology (ZMNH) University Medical Center Hamburg-Eppendorf (UKE) Falkenried 94, 20251 Hamburg, Germany Istituto Italiano di Tecnologia Genoa, Italy s.panzeri@uke.de |
| Pseudocode | No | The paper describes the model and its dynamics using mathematical equations and text, but it does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [Yes] see Supplementary material |
| Open Datasets | No | The paper describes network simulations using internally defined parameters and generated inputs (e.g., 'step input in one of the input features'), rather than utilizing an external public dataset. |
| Dataset Splits | No | The paper describes theoretical derivations and simulations of a neural network model, rather than conducting experiments on a dataset that would require explicit training, validation, or test splits. |
| Hardware Specification | Yes | Did you include the total amount of compute and the type of resources used (e.g., type of GPUs, internal cluster, or cloud provider)? [Yes] Supplementary material |
| Software Dependencies | No | The paper does not provide specific software details with version numbers (e.g., library names, programming languages, or solvers) used for the experiments. |
| Experiment Setup | Yes | Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? [Yes] see Figure Captions |