{"id":826,"date":"2024-03-19T15:26:46","date_gmt":"2024-03-19T19:26:46","guid":{"rendered":"https:\/\/www.bu.edu\/hrc\/?page_id=826"},"modified":"2024-03-19T15:29:51","modified_gmt":"2024-03-19T19:29:51","slug":"2021-seminars","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/hrc\/seminars-and-events\/seminar-archive-2\/2021-seminars\/","title":{"rendered":"2021 Seminars"},"content":{"rendered":"<h3><span style=\"color: #000000;\"><b>\u00a0September 2020<\/b><\/span><\/h3>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Kamal Sen<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>September 17th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Kamal Sen, Boston Univeristy<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Searching for cortical circuits underlying complex scene analysis<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: This talk will discuss computational models of cortical circuits underlying auditory scene analysis, and some recent experiments in the mouse auditory cortex (in collaboration with Xue Han\u2019s laboratory) employing cell type specific optogenetic perturbations.<\/span><\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Sam Mathias<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>September 24th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Sam Mathias, Boston Children&#8217;s Hospital<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Genetics of solving the cocktail-party problem<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: This talk will present preliminary data from the ongoing Imaging Genomics of the Aging Brain study. We will discuss the roles of genetic and environmental factors on pure-tone hearing thresholds as well as speech-reception thresholds in a &#8220;cocktail-party&#8221; listening task.<\/span><\/p>\n<h3><span style=\"color: #000000;\">October 2020<\/span><\/h3>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Oded Ghitza<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>October 1st<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Oded Ghitza, Boston University<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: <b>\u00a0<\/b>Acoustic-driven oscillators as cortical pacemaker<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: Oscillation-based models of speech perception postulate a cortical computational principle by which decoding is performed within a window structure derived by a segmentation process. Segmentation of syllable-size chunks is realized by a \u03b8 oscillator locked to the input syllabic rate, and segmentation of phrase-long chunks is realized by a \u03b4 oscillator locked to the acoustic prosodic structure. In this talk I will propose that from a functional viewpoint, the scaffold for the speech decoding process \u2013 through parsing \u2013 is an acoustic determinant. Whether oscillation driven or not, the decoding process is paced by a hierarchical cortical clock, realized by oscillators locked to the input rhythm in multiple Newtonian-time scales, keeping the decoding process in sync with the linguistic information flow. Only if such a lockstep is secured can reliable decoding proceed.<\/span><\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Yonghee Oh<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>October 22nd<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Yonghee Oh, University of Florida<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Interaction between voice-gender difference and spatial separation in release from masking in multi-talker listening environments.<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: Voice-gender difference and spatial separation between talkers are important cues for speech segregation in multi-talker listening environments. The goal of the current research series is to understand the interactions of these two cues in order to investigate how they influence masking release in hearing-impaired listeners with hearing-aid and\/or cochlear implant devices. Further, a possible factor to explain individual differences in the masking release performance is explored.<\/span><\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Tamar Regev<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>October 29th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Tamar Regev, Massachusetts Institute of Technology<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Context sensitivity across multiple time scales with a flexible frequency bandwidth<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: Everyday auditory streams are complex, including spectro-temporal content that varies at multiple timescales. Using EEG, we investigated the sensitivity of human auditory cortex to the content of past stimulation in unattended sequences of equiprobable tones. In 3 experiments including 82 participants overall, we found that neural responses measured at different latencies after stimulus onset were sensitive to frequency intervals computed over distinct timescales. Importantly, early responses were sensitive to a longer history of stimulation than later responses. To account for these results, we tested a model consisting of neural populations with frequency-specific but broad tuning that undergo adaptation with exponential recovery. We found that the coexistence of neural populations with distinct recovery rates can explain our results. Furthermore, the adaptation bandwidth of these populations depended on spectral context\u2014it was wider when the stimulation sequence had a wider frequency range. Our results provide electrophysiological evidence as well as a possible mechanistic explanation for dynamic and multiscale context-dependent auditory processing in the human cortex.<\/span><\/p>\n<h3><span style=\"color: #000000;\">November 2020<\/span><\/h3>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with Julie Arenburg<\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>November 5th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Julie Arenburg, Massachusetts Eye and Ear Infirmary<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Understanding the variability in speech perception performance among individuals with cochlear implants<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: Speech perception scores are highly variable among individuals who have severe-to-profound hearing loss and are fit with cochlear implants. \u00a0A contributing factor to the variability is the effectiveness with which each cochlear implant electrode activates the target auditory neurons, referred to as the electrode-neuron interface.\u00a0 The role of the electrode-neuron interface and more central factors will be discussed with a special emphasis of how these factors compare between children and adults with cochlear implants.<\/span><\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with <b>Malinda McPherson<\/b><\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>November 12th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Malinda McPherson, Harvard University<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: Efficient and noise-robust representations of sound<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: Some of the most important sounds humans hear, including speech and music, are harmonic, with frequencies related by integer ratios. In this talk I will re-examine the role of harmonic sounds in hearing. I will present evidence that human sensitivity to harmonic frequency structure increases the robustness of hearing to noise, and helps listeners compress sounds into compact representations that aid memory. The results suggest that representations of harmonic sounds are fundamental to auditory perception and cognition, and clarify their importance in music.<\/span><\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td><span style=\"color: #000000;\"><strong>HRC Seminar with <b>Elizabeth McCullagh<\/b><\/strong><\/span><\/td>\n<td style=\"text-align: right;\"><span style=\"color: #000000;\"><strong>November 19th<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">Elizabeth McCullagh, Oklahoma State University<\/span><\/p>\n<p><span style=\"color: #000000;\">Title: New insights into binaural hearing from animal models of Fragile X syndrome<\/span><\/p>\n<p><span style=\"color: #000000;\">Abstract: How are sounds located in the environment? Dr. McCullagh will talk about her past and current research on brainstem level sound processing in a genetic form of autism, FXS. Additionally, she will talk about new work in her lab using a comparative approach to understand hearing with two ears.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0September 2020 HRC Seminar with Kamal Sen September 17th Kamal Sen, Boston Univeristy Title: Searching for cortical circuits underlying complex scene analysis Abstract: This talk will discuss computational models of cortical circuits underlying auditory scene analysis, and some recent experiments in the mouse auditory cortex (in collaboration with Xue Han\u2019s laboratory) employing cell type specific [&hellip;]<\/p>\n","protected":false},"author":23353,"featured_media":0,"parent":59,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/pages\/826"}],"collection":[{"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/users\/23353"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/comments?post=826"}],"version-history":[{"count":2,"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/pages\/826\/revisions"}],"predecessor-version":[{"id":829,"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/pages\/826\/revisions\/829"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/pages\/59"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/hrc\/wp-json\/wp\/v2\/media?parent=826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}