Neural network models and deep learning - a primer for biologists
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Abstract (arXiv)
Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence, where they are used to approximate functions and dynamics by learning from examples. Here we give a brief introduction to neural network models and deep learning for biologists. We introduce feedforward and recurrent networks and explain the expressive power of this modeling framework and the backpropagation algorithm for setting the parameters. Finally, we consider how deep neural networks might help us understand the brain's computations.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 2; 2025: 2; 2026: 1.
10 papers.
- 2021Deep Recurrent Encoder: A scalable end-to-end network to model brain signalscited by 6
- 2021E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Studycited by 4
- 2024Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Datacited by 4
- 2022Online Assessment Misconduct Detection using Internet Protocol and Behavioural Classificationcited by 0
- 2022Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuningcited by 0
- 2023Predicting Parkinson's disease evolution using deep learningcited by 0
- 2024Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecturecited by 0
- 2025Towards Understanding Deep Learning Model in Image Recognition via Coverage Testcited by 0
- 2025A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodulescited by 0
- 2026From Classical to Topological Neural Networks Under Uncertaintycited by 0
- 2026From Classical to Topological Neural Networks Under Uncertainty10 Feb 2026
- 2025A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules26 Aug 2025
- 2025Towards Understanding Deep Learning Model in Image Recognition via Coverage Test12 May 2025
- 2024Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture31 Oct 2024
- 2024Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data19 Jul 2024
- 2023Predicting Parkinson's disease evolution using deep learning28 Dec 2023
- 2022Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning19 Dec 2022
- 2022Online Assessment Misconduct Detection using Internet Protocol and Behavioural Classification24 Jan 2022
- 2021Deep Recurrent Encoder: A scalable end-to-end network to model brain signals3 Mar 2021
- 2021E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study25 Jan 2021