Dominik Krzemiński
A5066939448- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neurobiology and Insect Physiology Research
- EEG and Brain-Computer Interfaces
- Insect and Arachnid Ecology and Behavior
- Neural and Behavioral Psychology Studies
- Natural Language Processing Techniques
- Osteoarthritis Treatment and Mechanisms
- Neural Networks and Applications
- Topic Modeling
- Genetics, Aging, and Longevity in Model Organisms
- Biomedical Text Mining and Ontologies
- Epilepsy research and treatment
- Plant and Biological Electrophysiology Studies
- Advanced Memory and Neural Computing
- Total Knee Arthroplasty Outcomes
- Lower Extremity Biomechanics and Pathologies
- Artificial Intelligence in Healthcare and Education
- Interactive and Immersive Displays
- Multilingual Education and Policy
- Second Language Learning and Teaching
- Genetics and Neurodevelopmental Disorders
- Machine Learning in Healthcare
- Innovative Human-Technology Interaction
- Meta-analysis and systematic reviews
University of Cambridge
2022-2024
MRC Laboratory of Molecular Biology
2023-2024
Cardiff University
2018-2022
Instytut Biologii Doświadczalnej im. Marcelego Nenckiego
2017
Polish Academy of Sciences
2017
University of Warsaw
2017
Abstract Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls requires mapping neuronal circuits all way to motor neurons. We have previously established technology collect large-volume electron microscopy data sets tissue and fully reconstruct morphology neurons their chemical synaptic connections throughout volume. Using these tools we generated a dense wiring diagram, or connectome, for large portion Drosophila central...
Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls requires mapping neuronal circuits all way to motor neurons. We have previously established technology collect large-volume electron microscopy data sets tissue and fully reconstruct morphology neurons their chemical synaptic connections throughout volume. Using these tools we generated a dense wiring diagram, or connectome, for large portion Drosophila central brain....
Nervous systems function as ensembles of neurons communicating via synaptic connections, and a functional understanding nervous requires extensive knowledge their connectomes. In companion paper (Takemura et al., 2023), we describe the acquisition complete fruit fly nerve cord connectome, first for an animal that can walk or fly. Here, to efficiently navigate appreciate biological significance this categorise name nearly all systematically link them experimental literature. We employ system...
Summary Nervous systems function as ensembles of neurons communicating via synaptic connections, and a functional understanding nervous requires extensive knowledge their connectomes. In companion paper (Takemura et al., 2023), we describe the acquisition complete fruit fly nerve cord connectome, first for an animal that can walk or fly. Here, to efficiently navigate appreciate biological significance this categorise name nearly all systematically link them experimental literature. We employ...
There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available are usually limited by small number participants with few BCI sessions. In this sense, the large, comprehensive various individuals and multiple sessions has advances in development more effective data processing analysis methods systems. This particularly evident to explore feasibility deep learning that require large datasets. Here we present BCIAUT-P300 dataset, containing 15 autism...
Abstract Evidence suggests that brain network dynamics are a key determinant of function and dysfunction. Here we propose new framework to assess the networks based on recurrence analysis. Our uses plots quantification analysis characterize dynamic networks. For resting‐state magnetoencephalographic functional (dFNs), have found recur more quickly in people with epilepsy than healthy controls. This dFNs may be used as biomarker epilepsy. stereo electroencephalography data, involved epileptic...
Text embeddings are typically evaluated on a limited set of tasks, which constrained by language, domain, and task diversity. To address these limitations provide more comprehensive evaluation, we introduce the Massive Multilingual Embedding Benchmark (MMTEB) - large-scale, community-driven expansion MTEB, covering over 500 quality-controlled evaluation tasks across 250+ languages. MMTEB includes diverse challenging, novel such as instruction following, long-document retrieval, code...
Juvenile myoclonic epilepsy (JME) is a form of idiopathic generalized epilepsy. It yet unclear to what extent JME leads abnormal network activation patterns. Here, we characterized statistical regularities in magnetoencephalograph (MEG) resting-state networks and their differences between patients controls by combining pairwise maximum entropy model (pMEM) novel energy landscape analyses for MEG. First, fitted the pMEM MEG oscillatory power front-oparietal (FPN) other networks, which...
Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls requires mapping neuronal circuits all way to motor neurons. We have previously established technology collect large-volume electron microscopy data sets tissue and fully reconstruct morphology neurons their chemical synaptic connections throughout volume. Using these tools we generated a dense wiring diagram, or connectome, for large portion Drosophila central brain....
Clinical trials are an important step in introducing new interventions into clinical practice by generating data on their safety and efficacy. need to ensure that participants similar so the findings can be attributed studied not some other factors. Therefore, each trial defines eligibility criteria, which describe characteristics must shared participants. Unfortunately, complexities of criteria may allow them translated directly readily executable database queries. Instead, they require...
For people with idiopathic generalized epilepsy, functional networks derived from their resting-state scalp electrophysiological recordings have shown an inherent higher propensity to generate seizures than those healthy controls when assessed using the concept of brain network ictogenicity (BNI). Herein we tested whether BNI framework is applicable magnetoencephalography (MEG) juvenile myoclonic epilepsy (JME).The consists in deriving a apparently normal activity, placing mathematical model...
Objective We evaluated a fully automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin-echo (MESE) magnetic resonance imaging (MRI). open sourced this developed web app available at https://kl.stanford.edu into which users can drag drop images to segment them automatically. Design trained neural network from MESE MRIs. Cartilage was divided 12 subregions along medial-lateral, superficial-deep, anterior-central-posterior...
Nervous systems function as ensembles of neurons communicating via synaptic connections, and a functional understanding nervous requires extensive knowledge their connectomes. In companion paper (Takemura et al., 2023), we describe the acquisition complete fruit fly nerve cord connectome, first for an animal that can walk or fly. Here, to efficiently navigate appreciate biological significance this categorise name nearly all systematically link them experimental literature. We employ system...
Abstract Choosing between equally valued options can be a conundrum, for which classical decision theories predicted prolonged response time (RT). Paradoxically, rational decision-maker would need no deliberative thinking in this scenario, as outcomes of alternatives are indifferent. How individuals choose equal remain unclear. Here, we characterized the neurocognitive processes underlying such voluntary decisions, by integrating advanced cognitive modelling and EEG recording probabilistic...
Abstract Choosing between equally valued options is a common conundrum, for which classical decision theories predicted prolonged response time (RT). This contrasts with the notion that an optimal maker in stable environment should make fast and random choices, as outcomes are indifferent. Here, we characterize neurocognitive processes underlying such voluntary decisions by integrating cognitive modelling of behavioral responses EEG recordings probabilistic reward task. Human participants...
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value generative AI tools communities. However, development functional LLMs (\ie, multilingual LLMs) is bottlenecked by lack high-quality evaluation resources other than English. Moreover, current practices benchmark construction often translate English resources, ignoring regional cultural knowledge environments...
A bstract Decision making on the basis of multiple information sources is common. However, to what extent such decisions differ from those with a single source remains unclear. Here, we combined cognitive modelling and neural-mass characterise neurocognitive process underlying decisionmaking or double sources. Ninety-four human participants performed binary discriminate coherent motion direction averaged across two independent apertures. Regardless angular distance apertures, separating into...
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements the space of natural language processing (NLP) can be attributed finetuning pre-trained models on a diverse set tasks that enables large model (LLM) respond instructions. Instruction fine-tuning (IFT) requires specifically constructed and annotated datasets. However, existing datasets almost all English language. In this work, our primary goal is bridge gap by building human-curated...