Tim Herfurth
Frankfurt, Hessen, Deutschland
1023 Follower:innen
500+ Kontakte
Info
Data Scientist and AI Consultant at Zühlke | PhD in physics/computational neuroscience. |…
Beiträge
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How can you stay current with AI algorithm developments while working full-time?
Here's some aspects I found helpful: 1. Follow Key Figures and Newsletters: Stay connected with experts, e.g. on X, and subscribe to newsletters that summarize the latest trends. Try a few and see what works best for you (they all have different styles). 2. Stay calm: With AI being hyped, there's a lot of noise out there. I try to be patient and wait to see which developments prove to be enduring. Then it might be time to go deeper. 3. Differentiate Between Novel and Incremental: I try to distinguish between real advancements/breakthroughs and minor increments to existing algorithms. I am normally interested in the former. #ai #zuehlke
Aktivitäten
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🏆 A news that makes me once again proud of our work at Zühlke Group: Our client BSH has been awarded at the VOICE Best Data Project Award for their…
🏆 A news that makes me once again proud of our work at Zühlke Group: Our client BSH has been awarded at the VOICE Best Data Project Award for their…
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I am honored to have received the 2024 BBA Rising Stars in Biochemistry and Biophysics Prize, a recognition that I am truly grateful for. This award…
I am honored to have received the 2024 BBA Rising Stars in Biochemistry and Biophysics Prize, a recognition that I am truly grateful for. This award…
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Strong business cases from a range of companies working to improve their customers lives were showcased at the Female Capital Pitch Night in #Berlin…
Strong business cases from a range of companies working to improve their customers lives were showcased at the Female Capital Pitch Night in #Berlin…
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Berufserfahrung
Ausbildung
Bescheinigungen und Zertifikate
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Certified Professional for Requirements Engineering - Foundation Level
IREB GmbH
Ausgestellt:Zertifikats-ID: 22REFL1205306
Ehrenamt
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Data Scientist
CorrelAid
–Heute 5 Jahre 6 Monate
Social Services
We want to use the potential of data science to help Non-Profit Organisations to increase their impact. In our local volunteer projects we want to bring together Rhein-Main’s Data Scientists with local NPOs. CorrelAid projects are usually run by a small and diverse team of Social Data Scientists who help the NPO to make better evidence-based decisions, understand their target group better, and optimize their processes.
Veröffentlichungen
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The orbitofrontal cortex maps future navigational goals
nature
Accurate navigation to a desired goal requires consecutive estimates of spatial relationships between the current position and future destination throughout the journey. Although neurons in the hippocampal formation can represent the position of an animal as well as its nearby trajectories, their role in determining the destination of the animal has been questioned. It is, thus, unclear whether the brain can possess a precise estimate of target location during active environmental exploration…
Accurate navigation to a desired goal requires consecutive estimates of spatial relationships between the current position and future destination throughout the journey. Although neurons in the hippocampal formation can represent the position of an animal as well as its nearby trajectories, their role in determining the destination of the animal has been questioned. It is, thus, unclear whether the brain can possess a precise estimate of target location during active environmental exploration. Here we describe neurons in the rat orbitofrontal cortex (OFC) that form spatial representations persistently pointing to the subsequent goal destination of an animal throughout navigation. This destination coding emerges before the onset of navigation, without direct sensory access to a distal goal, and even predicts the incorrect destination of an animal at the beginning of an error trial. Goal representations in the OFC are maintained by destination-specific neural ensemble dynamics, and their brief perturbation at the onset of a journey led to a navigational error. These findings suggest that the OFC is part of the internal goal map of the brain, enabling animals to navigate precisely to a chosen destination that is beyond the range of sensory perception.
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Mechanisms of signal encoding and information transmission in cortical neurons
Universitätsbibliothek Johann Christian Senckenberg
PhD Thesis (code: https://github.com/t8ch/dissertation-code)
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Quantifying encoding redundancy induced by rate correlations in Poisson neurons
Temporal correlations in neuronal spike trains are known to introduce redundancy to stimulus encoding. However, exact methods to describe how these correlations impact neural information transmission quantitatively are lacking. Here, we provide a general measure for the information carried by correlated rate modulations only, neglecting other spike correlations, and use it to investigate the effect of rate correlations on encoding redundancy. We derive it analytically by calculating the mutual…
Temporal correlations in neuronal spike trains are known to introduce redundancy to stimulus encoding. However, exact methods to describe how these correlations impact neural information transmission quantitatively are lacking. Here, we provide a general measure for the information carried by correlated rate modulations only, neglecting other spike correlations, and use it to investigate the effect of rate correlations on encoding redundancy. We derive it analytically by calculating the mutual information between a time-correlated, rate modulating signal and the resulting spikes of Poisson neurons. Whereas this information is determined by spike autocorrelations only, the redundancy in information encoding due to rate correlations depends on both the distribution and the autocorrelation of the rate histogram. We further demonstrate that at very small signal strengths the information carried by rate correlated spikes becomes identical to that of independent spikes, in effect measuring the signal modulation depth. In contrast, a vanishing signal correlation time maximizes information but does not generally yield the information of independent spikes. Overall, our study sheds light on the role of signal-induced temporal correlations for neural coding, by providing insight into how signal features shape redundancy and by establishing mathematical links between existing methods.
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Information transmission of mean and variance coding in integrate-and-fire neurons
Neurons process information by translating continuous signals into patterns of discrete spike times. An open question is how much information these spike times contain about signals which modulate either the mean or the variance of the somatic currents in neurons, as is observed experimentally. Here we calculate the exact information contained in discrete spike times about a continuous signal in both encoding strategies. We show that the information content about mean modulating signals is…
Neurons process information by translating continuous signals into patterns of discrete spike times. An open question is how much information these spike times contain about signals which modulate either the mean or the variance of the somatic currents in neurons, as is observed experimentally. Here we calculate the exact information contained in discrete spike times about a continuous signal in both encoding strategies. We show that the information content about mean modulating signals is generally substantially larger than about variance modulating signals for biological parameters. Our analysis further reveals that higher information transmission is associated with a larger proportion of nonlinear signal encoding. Our study measures the complete information content of mean and variance coding and provides a method to determine what fraction of the total information is linearly decodable.
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How linear response shaped models of neural circuits and the quest for alternatives
Current Opinion in Neurobiology
• We provide a unified view on linear response theory in neuroscience.
• We review recent advances of theories combining linear and nonlinear elements.
• We discuss challenges for establishing specific input–output mappings in neural networks.
• We highlight the need to identify minimal computational units for network functions. -
Information transmission capabilities of mean and variance coded signals.
Bernstein Conference 2016
Poster abstract
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Majorana spin liquid and dimensional reduction in Cs2CuCl4
APS, Physical Review B
Kurse
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Advanced Course on Data Science & Machine Learning
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Advanced Course on Data Science & Machine Learning
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Analysis and Models in Neurophysiology, Bernstein Center Freiburg
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Computational Approaches to Memory and Plasticity 2015
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GRADE initiative "Statistical Learning and Machine Learning Applications"
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Moderation as Leadership Competence
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Okinawa Computational Neuroscience Course 2016
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Succesful employee management - Goethe Research Academy for Early Career Researchers
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Udacity online course "Introduction to Machine Learning"
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Projekte
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Analysis of neurophysiological data of behaving animals (incl. machine learning techniques)
–Heute
I am using methods of time series analysis and machine learning (Fourier analysis, PCA decomposition, clustering, visualization) to analyse and describe neurophysiological data. The data had been acquired from behaving animals in the lab of Dr. Gilles Laurent. The aim is to find neural activity patterns encoding behavioural states.
Andere Mitarbeiter:innen -
Survival analysis on medical data
I have been analysing real medical patient data in order to compare different therapeutics of oropharynx cancer. Survival analyses has been done with python's lifelines package.
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Kaggle kernel - Bengali numerals classification
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digit classification with CCN in Keras, incl. data augmentation
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Kaggle kernel - Correlates of Happiness
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correlation analysis, simple linear and deep neural network regression
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Variational autoencoders for dimensionality reduction of neural data
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We develop regularized, variational autoencoders and related concepts to identify the low dimensional manifolds on which the neural data recorded from behaving animals can be represented. Moreover, we develop advanced algorithms to determine the importance of single neurons in encoding of sensory or behavioral variables.
Auszeichnungen/Preise
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M. Sc. degree with honor
Department of Physics
Sprachen
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English
Fließend
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German
Muttersprache oder zweisprachig
Organisationen
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Effective Altruism
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–Heutelocal group Frankfurt
Weitere Aktivitäten von Tim Herfurth
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When it comes to AI in healthcare, the gap between promise and reality is hard to ignore. While headlines are filled with stories of revolutionary AI…
When it comes to AI in healthcare, the gap between promise and reality is hard to ignore. While headlines are filled with stories of revolutionary AI…
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Es wird wenige überraschen, dass ich vor Freude platze wenn ich daran denke, dass die großartige Maral Koohestanian unsere Spitzenkandidatin für die…
Es wird wenige überraschen, dass ich vor Freude platze wenn ich daran denke, dass die großartige Maral Koohestanian unsere Spitzenkandidatin für die…
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📢 Einladung zu unseren kostenlosen Webinarterminen! 🚀 Liebe Community, wir freuen uns, Sie zu einer weiteren Reihe spannender Webinare…
📢 Einladung zu unseren kostenlosen Webinarterminen! 🚀 Liebe Community, wir freuen uns, Sie zu einer weiteren Reihe spannender Webinare…
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Zühlke announces a strategic partnership with InfoSec Global, the leader in agile data security for today and a post-quantum world. This…
Zühlke announces a strategic partnership with InfoSec Global, the leader in agile data security for today and a post-quantum world. This…
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🌍 Liebes Netzwerk: Ich freue mich, unsere neueste wissenschaftliche Veröffentlichung im Journal of Cleaner Production mit euch zu teilen! Der…
🌍 Liebes Netzwerk: Ich freue mich, unsere neueste wissenschaftliche Veröffentlichung im Journal of Cleaner Production mit euch zu teilen! Der…
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#AgenticAI ist einer der am heissesten gehandelten Bereiche der #KI. Diese adaptiven KI-Systeme, die sich durch ihr zielgerichtetes Verhalten…
#AgenticAI ist einer der am heissesten gehandelten Bereiche der #KI. Diese adaptiven KI-Systeme, die sich durch ihr zielgerichtetes Verhalten…
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𝗧𝗵𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗮𝗻𝘃𝗮𝘀 📋 The Prompt Canvas by Michael Hewing is an easy-to-follow framework that summarizes best practices for prompt…
𝗧𝗵𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗮𝗻𝘃𝗮𝘀 📋 The Prompt Canvas by Michael Hewing is an easy-to-follow framework that summarizes best practices for prompt…
Geteilt von Tim Herfurth
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🤖 Large Language Models (LLMs) have opened up new possibilities in AI, but building applications with them comes with its own set of challenges. 📖…
🤖 Large Language Models (LLMs) have opened up new possibilities in AI, but building applications with them comes with its own set of challenges. 📖…
Geteilt von Tim Herfurth
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🌟 𝐓𝐢𝐦𝐞 𝐭𝐨 𝐬𝐚𝐲 𝐠𝐨𝐨𝐝𝐛𝐲𝐞 - 𝐆𝐫𝐚𝐭𝐞𝐟𝐮𝐥 𝐟𝐨𝐫 𝐚𝐧 𝐈𝐧𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐉𝐨𝐮𝐫𝐧𝐞𝐲! 🌟 After 2.5 unforgettable years, it’s…
🌟 𝐓𝐢𝐦𝐞 𝐭𝐨 𝐬𝐚𝐲 𝐠𝐨𝐨𝐝𝐛𝐲𝐞 - 𝐆𝐫𝐚𝐭𝐞𝐟𝐮𝐥 𝐟𝐨𝐫 𝐚𝐧 𝐈𝐧𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐉𝐨𝐮𝐫𝐧𝐞𝐲! 🌟 After 2.5 unforgettable years, it’s…
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Implementing #AI in #healthcare isn’t just about innovation—it’s about navigating critical barriers in ethics, technology, and human adaptation…
Implementing #AI in #healthcare isn’t just about innovation—it’s about navigating critical barriers in ethics, technology, and human adaptation…
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Jenseits des Hypes: Wo und wie schafft Künstliche Intelligenz echten Mehrwert für die Industrie entlang des gesamten Produktlebenszyklus? 🚀 Auf…
Jenseits des Hypes: Wo und wie schafft Künstliche Intelligenz echten Mehrwert für die Industrie entlang des gesamten Produktlebenszyklus? 🚀 Auf…
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I was initially very suspicious that Joachim Schork had taken my content without acknowledgement, but that there was a misunderstanding since I did…
I was initially very suspicious that Joachim Schork had taken my content without acknowledgement, but that there was a misunderstanding since I did…
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I have the honor of moderating an amazing track at AMLD - Applied Machine Learning Days on AI regulation and policy. Please join us and listen to our…
I have the honor of moderating an amazing track at AMLD - Applied Machine Learning Days on AI regulation and policy. Please join us and listen to our…
Beliebt bei Tim Herfurth
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🚀 Supercharge Your GenAI Models: Retrieval-Augmented Generation (RAG) is revolutionizing GenAI applications by combining large language models…
🚀 Supercharge Your GenAI Models: Retrieval-Augmented Generation (RAG) is revolutionizing GenAI applications by combining large language models…
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𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗦𝗵𝗮𝗽𝗹𝗲𝘆 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 🎥 Assume you’ve built a very good movie…
𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗦𝗵𝗮𝗽𝗹𝗲𝘆 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 🎥 Assume you’ve built a very good movie…
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