Leah Anderson Roesch’s neuroscience class at Emory University is not just a prerequisite course for her non-neuroscience students. It’s a way to get liberal arts students connected to and excited about the field.

It's important to have mentors who are similar to us and who have had common experiences — people with whom we'll feel comfortable. However, women and minorities (but really anyone) should also reach out to and establish mentoring relationships with men and other ethnic groups. It's also important for everyone to have mentors who are in the positions that you aspire to, no matter their race or gender, because they give you inside information about how to get there and share a perspective about what it's like. It can also be helpful to get a reality check — to hear, "This is what everybody goes through. Your experience is common." As a mentee, I have learned not to judge someone’s background when considering whether they may or may not be an impactful mentor.

Our behavior is strongly influenced by the environmental cues around us.

Processing and analyzing massive data sets is a major challenge, but training neuroscientists how to use them is integral to moving the field forward.

This is the introductory video in the Implicit Bias Video Series from BruinX, the research and development unit within the University of California, Los Angeles's Office of Equity, Diversity and Inclusion. This video describes how biases and heuristics can influence our decision-making and behavior without us even knowing it.

Psychotic disorders, including schizophrenia and bipolar disorder with psychotic features, are characterized by noticeable deficits in “normal” behavior accompanied by hallucinations, delusions, paranoia, an early onset (the average age of onset is in the late teens or early twenties), and a derailed life course.

Two types of cells, excitatory and inhibitory neurons, come from distinct lineages during the development of the cortex.

Wayne Bowen, a professor at Brown University, and Kathryn Reissner, an associate professor at the University of North Carolina School of Medicine, offer tips to scientists looking to start their first lab, and share their personal experiences in launching their labs.

Selectively stopping individual parts of planned or ongoing movements is an everyday motor skill. For example, while walking in public you may stop yourself from waving at a stranger who you mistook for a friend while continuing to walk. Despite its ubiquity, our ability to selectively stop actions is limited. Canceling one action can delay the execution of other simultaneous actions. This stopping-interference effect on continuing actions during selective stopping may be attributed to a global inhibitory mechanism with widespread effects on the motor system. Previous studies have characterized a transient global reduction in corticomotor excitability by combining brain stimulation with electromyography (EMG). Here, we examined whether global motor inhibition during selective stopping can be measured peripherally and with high temporal resolution using EMG alone. Eighteen participants performed a bimanual anticipatory response inhibition task with their index fingers while maintaining a tonic contraction o...

Human face categorization has been extensively studied using event-related potentials (ERPs), positing the N170 ERP component as a robust neural marker of face categorization. Recently, the fast periodic visual stimulation (FPVS) approach relying on steady-state visual evoked potentials (SSVEPs) has also been used to investigate face categorization. FPVS studies consistently report strong bilateral SSVEP face categorization responses over the occipito-temporal cortex, with a right hemispheric dominance, closely mirroring the N170 scalp topography. However, it remains unclear whether SSVEP responses can be considered a proxy for the N170 or are driven by different components. To address this question, we recorded electrophysiological signals from observers viewing face and object images during FPVS and ERP paradigms. We quantified the FPVS response in the frequency domain and extracted ERP components, including the P1, N170, and P2, from both the FPVS time domain and ERP paradigms. Our results revealed litt...