A field on ReadSearch
Life Sciences
Life scientists post their preprints on bioRxiv, and quantitative biology appears on arXiv too. This page shows the newest papers ReadSearch has read from both, from cell biology and genetics to neuroscience, ecology and immunology.
709 papers, from 31 August 2026 to 6 November 2026: 426 arXiv preprints, 228 bioRxiv preprints and 55 OpenAlex records.
Newest papers, page 26
Effective Resistance and Graph Neural Network Reliability in Tissue-Specific Interactomes
Protein function annotation needs to know which predictions to distrust, not only what a model predicts.Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models
To evaluate the performance-feasibility tradeoffs of foundation models (FMs) and task-specific convolutional neural networks (CNNs) trained from scratch for breast implant classification in 2D…Future Video Generation Better Aligns with the Human Visual Cortex than Observed Video
Studying the alignment between the internal representations of vision models and the responses of the visual cortex to the same observed visual stimuli has enabled us to better understand human…CellMSA: Context Modeling for Single-Cell Representation Learning
Single-cell transcriptomics enables profiling of cellular states at unprecedented resolution, but its high dimensionality, sparsity, and technical batch effects pose significant challenges for…Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
A foundational principle of connectionism is that perception, action, and cognition emerge from parallel computations among simple, interconnected units that generate and rely on neural…Association profile conditioning in a set-temporal transformer for cross-session intracortical motor decoding
Intracortical motor decoders degrade across sessions because the set of recorded units changes and persisting units can alter how their firing relates to behavior.Evolutionary foraging in grids: Intermittent search dynamics emerge in finite, depletable landscapes
How search strategies evolve in finite, depletable landscapes remains a question in foraging theory.Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison
Randomised copies of a connectome are the usual baseline for asking whether measured wiring matters, and the answer depends on what the randomisation preserves.Belief-Based Maximum Occupancy Principle and Active Inference
Intrinsic motivation plays a central role in adaptive and goal-directed behavior by conferring agents reward-independent objectives and biases useful to act in noisy and uncertain environments.From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer
Compact regulatory DNA can free up space in vector payloads, reduce synthesis and assay burden, and expose which sequence features drive predicted activity.Disentangling Computation in Multi-Task Neural Networks with the Green's Operator
How is computation organized and reused across tasks and time in a trained recurrent network?Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text
We find that major reported improvements in decoding words from non-invasive brain recordings are largely reproducible without any brain data.Analysis of Quantized and Efficiently Adapted Protein Language Models
Protein language models (PLMs) are increasingly used for sequence generation and property prediction, but their size makes fine-tuning and deployment expensive.ORBIT-FMIB: Tracking Order-Resolved Epistatic Information Through ESM-2
Protein foundation models support mutation-effect and structural prediction, but predictive performance alone does not reveal which forms of biological interaction information remain accessible…Neuromorphic Pseudo-Random Number Generators with a Low Power Hardware Implementation
Pseudo-random number generation often requires trade-offs among quality, power consumption, and bandwidth to produce unpredictable sequences of numbers.StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes
Every protein has a unique stability landscape, but the physical consequences of mutation are governed by recurring biochemical constraints.Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
End-to-end backpropagation has been the dominant mode of training in deep learning, allowing for the coordination of parameter updates across layers of a neural network.Toward Controlling Biology with Language:Offline Learning of Prompt-Conditioned Interventions for Cells, Organoids, and Biobots
Artificial intelligence increasingly serves as a natural-language interface to complex technical systems, letting people accomplish sophisticated tasks by describing what they want rather than…Large-scale factor analysis shows machine intelligence is only partially interpretable
A common assumption in language model development is that cognitive abilities are organized around a general, domain-free intelligence factor, like fluid intelligence in humans.Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge
Structural reasoning, the ability to recognize and make inferences over the relational structure between objects and concepts, is a hallmark of human cognition, yet prevailing methods often collapse…
Get the few papers worth your time in Life Sciences every morning.
Choose your topics and ReadSearch reads the new papers in them each day, then brings you the few worth reading, each with its key finding in a sentence.