Ashley Clark discusses her paper, “Oculomotor Contributions to Foveal Crowding,” published in Vol. 44, Issue 48 of JNeurosci, with Megan Sansevere from SfN’s Journals’ staff.

Memory shapes who we are, both as individuals and scientists. It emerges from the interplay of diverse neural circuits, giving rise to representations that guide behavior.

How do we learn and know? For much of the speaker’s career, it was assumed that neurons respond to external stimuli as if to represent them, but an equally plausible model asserts that neuronal activity is fundamentally internally organized and instead fit to external features.

While it is evolutionarily advantageous for individuals to act in ways that promote their own survival and reproductive success, humans and other animals often display empathy and compassion through behaviors that benefit others.

Research involving nonhuman primates remains crucial for translating discoveries from rodent and computer models to humans with neurological and neuropsychiatric illnesses.

From early studies in sleep medicine to a serendipitous move to Milan, where he discovered intracerebral EEG, this speaker’s journey has been shaped by curiosity and chance.

We are living in turbulent research times in the U.S. The speaker will share her thoughts and advice on navigating these unprecedented, challenging times in neuroscience research based on her last 30 years navigating a healthy family life and career in somatosensory and pain research.

What does a sensory stimulus have to achieve in the brain to enter into conscious awareness? The speaker was drawn to neuroscience to answer this question and to understand how the brain rewires during learning.

 Trained as an analytical chemist, Renã A. S. Robinson’s technical expertise in mass spectrometry and proteomics has led to incredible technologies that allow insight into the understanding of aging, sepsis, and Alzheimer’s disease.

In this deeply personal and revealing talk, a physician-scientist shares her journey navigating rare disease research–where treatments don’t exist, systems resist change, and evidence-based medicine lags scientific possibilities.