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Benjamin James Kuper-Smith द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Benjamin James Kuper-Smith या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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95. Emily Finn: Neural fingerprinting, 'naturalistic' stimuli, and taking time before starting a PhD

1:43:43
 
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Manage episode 404243265 series 2800223
Benjamin James Kuper-Smith द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Benjamin James Kuper-Smith या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Emily Finn is an assistant professor at Dartmouth College. We talk about her research on neural fingerprinting, naturalistic stimuli, how Emily got into science, the year she spent in Peru before her PhD, advice for writing well, and much more.
There are occasional (minor) audio disturbances when Emily's speaking. Sorry about that, still trying to figure out where they came from so that it won't happen again.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.
Support the show: https://geni.us/bjks-patreon
Timestamps
0:00:00: Supportive peer review
0:03:25: Why study linguistics?
0:11:05: Uncertainties about doing a PhD/taking time off
0:18:05: Emily's year-and-a-half in Peru
0:25:17: Emily's PhD
0:29:34: Neural fingerprints
0:49:25: Naturalistic stimuli in neuroimaging
1:24:01: How to write good scientific articles
1:30:55: A book or paper more people should read
1:34:58: Something Emily wishes she'd learnt sooner
1:39:20: Advice for PhD students/postdocs
Podcast links

Emily's links

Ben's links

References and links
Episode w/ Nachum Ulanovsky: https://geni.us/bjks-ulanovsky
Byrge & Kennedy (2019). High-accuracy individual identification using a “thin slice” of the functional connectome. Network Neuroscience.
Burkeman (2021). Four thousand weeks: Time management for mortals.
Finn, ... & Constable (2014). Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity. Biological psychiatry.
Finn, Shen, ... & Constable (2015). Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience.
Finn, ... & Constable (2018). Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative. Nature Communications.
Finn, ... & Bandettini (2020). Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. NeuroImage.
Finn & Bandettini (2021). Movie-watching outperforms rest for functional connectivity-based prediction of behavior. NeuroImage.
Finn (2021). Is it time to put rest to rest?. Trends in cognitive sciences.
Finn & Rosenberg (2021). Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes. NeuroImage.
Grall & Finn (2022). Leveraging the power of media to drive cognition: A media-informed approach to naturalistic neuroscience. Social Cognitive and Affective Neuroscience.
Hasson, ... & Malach (2004). Intersubject synchronization of cortical activity during natural vision. Science.
Hedge, Powell & Sumner (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior research methods.
Sava-Segal, ... & Finn (2023). Individual differences in neural event segmentation of continuous experiences. Cerebral Cortex.

  continue reading

अध्यायों

1. Supportive peer review (00:00:00)

2. Why study linguistics? (00:03:25)

3. Uncertainties about doing a PhD/taking time off (00:11:05)

4. Emily's year-and-a-half in Peru (00:18:05)

5. Emily's PhD (00:25:17)

6. Neural fingerprints (00:29:34)

7. Naturalistic stimuli in neuroimaging (00:49:25)

8. How to write good scientific articles (01:24:01)

9. A book or paper more people should read (01:30:55)

10. Something Emily wishes she'd learnt sooner (01:34:58)

11. Advice for PhD students/postdocs (01:39:20)

100 एपिसोडस

Artwork
iconसाझा करें
 
Manage episode 404243265 series 2800223
Benjamin James Kuper-Smith द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Benjamin James Kuper-Smith या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Emily Finn is an assistant professor at Dartmouth College. We talk about her research on neural fingerprinting, naturalistic stimuli, how Emily got into science, the year she spent in Peru before her PhD, advice for writing well, and much more.
There are occasional (minor) audio disturbances when Emily's speaking. Sorry about that, still trying to figure out where they came from so that it won't happen again.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.
Support the show: https://geni.us/bjks-patreon
Timestamps
0:00:00: Supportive peer review
0:03:25: Why study linguistics?
0:11:05: Uncertainties about doing a PhD/taking time off
0:18:05: Emily's year-and-a-half in Peru
0:25:17: Emily's PhD
0:29:34: Neural fingerprints
0:49:25: Naturalistic stimuli in neuroimaging
1:24:01: How to write good scientific articles
1:30:55: A book or paper more people should read
1:34:58: Something Emily wishes she'd learnt sooner
1:39:20: Advice for PhD students/postdocs
Podcast links

Emily's links

Ben's links

References and links
Episode w/ Nachum Ulanovsky: https://geni.us/bjks-ulanovsky
Byrge & Kennedy (2019). High-accuracy individual identification using a “thin slice” of the functional connectome. Network Neuroscience.
Burkeman (2021). Four thousand weeks: Time management for mortals.
Finn, ... & Constable (2014). Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity. Biological psychiatry.
Finn, Shen, ... & Constable (2015). Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience.
Finn, ... & Constable (2018). Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative. Nature Communications.
Finn, ... & Bandettini (2020). Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. NeuroImage.
Finn & Bandettini (2021). Movie-watching outperforms rest for functional connectivity-based prediction of behavior. NeuroImage.
Finn (2021). Is it time to put rest to rest?. Trends in cognitive sciences.
Finn & Rosenberg (2021). Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes. NeuroImage.
Grall & Finn (2022). Leveraging the power of media to drive cognition: A media-informed approach to naturalistic neuroscience. Social Cognitive and Affective Neuroscience.
Hasson, ... & Malach (2004). Intersubject synchronization of cortical activity during natural vision. Science.
Hedge, Powell & Sumner (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior research methods.
Sava-Segal, ... & Finn (2023). Individual differences in neural event segmentation of continuous experiences. Cerebral Cortex.

  continue reading

अध्यायों

1. Supportive peer review (00:00:00)

2. Why study linguistics? (00:03:25)

3. Uncertainties about doing a PhD/taking time off (00:11:05)

4. Emily's year-and-a-half in Peru (00:18:05)

5. Emily's PhD (00:25:17)

6. Neural fingerprints (00:29:34)

7. Naturalistic stimuli in neuroimaging (00:49:25)

8. How to write good scientific articles (01:24:01)

9. A book or paper more people should read (01:30:55)

10. Something Emily wishes she'd learnt sooner (01:34:58)

11. Advice for PhD students/postdocs (01:39:20)

100 एपिसोडस

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