Task relevant autoencoding enhances machine learning for human neuroscience.

In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require large datasets to train, and so are prone to overfitting on human neuroimaging data that often possess few samples but many input dimensions. Here, we capitalized on the fact that the features we seek in human neuroscience are precisely those relevant to subjects' behavior rather than noise or other irrelevant factors.

Context changes retrieval of prospective outcomes during decision deliberation.

Foreseeing the future outcomes is the art of decision-making. Substantial evidence shows that, during choice deliberation, the brain can retrieve prospective decision outcomes. However, decisions are seldom made in a vacuum.

Supramolecular dextran/polyamine phosphate nanocapsules with smart responsiveness for encapsulation of therapeutics.

The polyallylamine hydrochloride (PAH) polymer is here functionalized with branched and biocompatible polysaccharide dextran (DEX) molecules. Covalent conjugation of DEX to PAH has been achieved through a straightforward reductive amination approach, allowing for a controlled number of DEX chains per PAH polymer (PAH:DEX, n = 0.1, 0.

Dopamine-induced relaxation of spike synchrony diversifies burst patterns in cultured hippocampal networks.

The intricate interplay of neurotransmitters orchestrates a symphony of neural activity in the hippocampus, with dopamine emerging as a key conductor in this complex ensemble. Despite numerous studies uncovering the cellular mechanisms of dopamine, its influence on hippocampal neural networks remains elusive. Combining in vitro electrophysiological recordings of rat embryonic hippocampal neurons, pharmacological interventions, and computational analyses of spike trains, we found that dopamine induces a relaxation in network synchrony.

Treatment of brain metastases from non-small cell lung cancer: preclinical, clinical, and translational research.

Lung cancer is the second most common type of cancer and is the leading cause of cancer-related deaths in the United States. Approximately 10-40% of patients with solid tumors develop brain metastases, with non-small cell lung cancer accounting for approximately 50% of all cases of patients with brain metastases. Many management options are available which can include surgery, radiation, and systemic therapy.